{"meta":{"query_hash":"02e50a778c49","filters":{"venue":"The Mental Lexicon"},"cohort_total":97,"direct_labels_cover":0,"predictions_cover":97,"exported":97,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/02e50a778c49","api":"https://metacan.xera.ac/api/v1/cohort?venue=The+Mental+Lexicon"},"results":[{"id":"W1967163642","doi":"10.1075/ml.5.3.10baa","title":"Demythologizing the word frequency effect","year":2010,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Reading and Literacy Development","field":"Psychology","cited_by":184,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Discriminative model; Word lists by frequency; Lexical decision task; Repetition (rhetorical device); Computer science; Word (group theory); Variation (astronomy); Reading (process); Natural language processing; Variance (accounting); Artificial intelligence; Cognitive psychology; Linguistics; Psychology; Cognition","score_opus":0.01488956064274246,"score_gpt":0.309686721675536,"score_spread":0.2947971610327936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967163642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9176595,0.00015795873,0.0000118943535,0.0027681517,0.002937562,0.00029746283,0.0000026997213,0.000077257406,0.07608752],"genre_scores_gemma":[0.9929142,0.00000258626,0.0001957229,0.0009775232,0.00022971204,0.00008942287,0.0000067990923,0.000015385107,0.0055686226],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9990054,0.00022968439,0.0001626007,0.0001968143,0.00012575151,0.00027977745],"domain_scores_gemma":[0.999156,0.00028820898,0.00006369042,0.00044691417,0.000007714523,0.00003744643],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009277139,0.00013371091,0.00010946919,0.000026642812,0.0003085786,0.00005548157,0.0003964984,0.00006819661,0.0010816556],"category_scores_gemma":[0.000031184576,0.000061716135,0.0000650174,0.00009530648,0.00016092256,0.000043302327,0.000062996165,0.00046544825,0.0013753205],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029945318,0.00023306404,0.110003844,0.000020691228,0.00033749393,0.00007962028,0.059147567,0.0000010703975,0.26174685,0.10554681,0.035611466,0.42697206],"study_design_scores_gemma":[0.0025320807,0.0005713384,0.63522625,0.0000889416,0.000116829135,0.00093701883,0.0026916715,0.000029101386,0.048169326,0.017405959,0.29137313,0.00085833797],"about_ca_topic_score_codex":0.00010861687,"about_ca_topic_score_gemma":0.000018905244,"teacher_disagreement_score":0.5252224,"about_ca_system_score_codex":0.000023548126,"about_ca_system_score_gemma":0.000010360302,"threshold_uncertainty_score":0.9998315},"labels":[],"label_agreement":null},{"id":"W1978683527","doi":"10.1075/ml.9.1.05ste","title":"Overgeneralization in the processing of complex forms in Valley Zapotec child language","year":2014,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Morpheme; Linguistics; Phonology; Noun; Clitic; Allomorph; Complementarity (molecular biology); Inflection; Computer science; Psychology; Language acquisition; Artificial intelligence; Philosophy; Biology","score_opus":0.03392024116825619,"score_gpt":0.3527173263000679,"score_spread":0.3187970851318117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978683527","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9741315,0.00020418275,0.000056511817,0.0012788692,0.00006540167,0.0002168639,0.000004510124,0.0000057987418,0.024036326],"genre_scores_gemma":[0.9993143,0.0000094523075,0.000012201023,0.0004021972,0.000034901455,0.000019299996,0.000027033,0.000007273569,0.00017334812],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99923545,0.00022395316,0.00015324296,0.0001035443,0.00011284577,0.0001709419],"domain_scores_gemma":[0.999689,0.00004187638,0.000051388073,0.0002000982,0.0000065570043,0.0000110871615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059775234,0.000060745857,0.0000935671,0.00005927455,0.00005507036,0.000009873447,0.00025921385,0.000046071622,0.00023406967],"category_scores_gemma":[0.000011317088,0.000034451485,0.000020731028,0.00017315015,0.000087913315,0.000024312598,0.000042666485,0.0001605835,0.000023085478],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009474213,0.0017740809,0.065741554,0.000128547,0.000078992336,0.000017829898,0.49212968,0.0003815589,0.2133377,0.05746023,0.0029805535,0.16502184],"study_design_scores_gemma":[0.0017588323,0.00028405493,0.97037953,0.00006128157,0.0000066314296,0.0000298147,0.0050162533,0.005841674,0.00800021,0.0066687684,0.0017983968,0.00015452405],"about_ca_topic_score_codex":0.0010177654,"about_ca_topic_score_gemma":0.001007829,"teacher_disagreement_score":0.904638,"about_ca_system_score_codex":0.000017933715,"about_ca_system_score_gemma":0.0000071358063,"threshold_uncertainty_score":0.25628987},"labels":[],"label_agreement":null},{"id":"W1978835705","doi":"10.1075/ml.2.2.04pex","title":"Cross-modal repetition priming with homophones provides clues about representation in the word recognition system","year":2007,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Reading and Literacy Development","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; University of Calgary","funders":"","keywords":"Homophone; Priming (agriculture); Repetition (rhetorical device); Repetition priming; Word lists by frequency; Phonology; Spelling; Computer science; Speech recognition; Psychology; Cognitive psychology; Linguistics; Artificial intelligence; Lexical decision task; Neuroscience; Cognition","score_opus":0.03411148853060401,"score_gpt":0.3403410950773223,"score_spread":0.30622960654671827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978835705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9800366,0.00012387017,0.0001708392,0.00035569858,0.0005257451,0.0007116178,0.00000624983,0.00007623123,0.01799313],"genre_scores_gemma":[0.997834,0.000005752985,0.00030989927,0.0001951466,0.0001861568,0.00014828009,0.0000945446,0.000016608165,0.0012095816],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.998593,0.00023568381,0.00035762583,0.00028603149,0.0002610766,0.0002666256],"domain_scores_gemma":[0.99926764,0.00020025663,0.00017445977,0.0002958261,0.00003634732,0.000025453188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014947563,0.00013536075,0.00012136602,0.00009480896,0.00025165,0.0001418235,0.0001689608,0.000058997823,0.000061428065],"category_scores_gemma":[0.000016712265,0.00007633401,0.00003720056,0.00024061234,0.000105408384,0.00019125476,0.000021352089,0.00017731919,0.00011378027],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005359312,0.0007110404,0.18604472,0.00028862318,0.0002044402,0.00026443956,0.33765033,0.0000418386,0.011040669,0.006565695,0.0008988453,0.45093003],"study_design_scores_gemma":[0.0016974667,0.00025171626,0.9234248,0.0007367155,0.00003535718,0.00045217483,0.052725706,0.000046018136,0.017768,0.0006998686,0.0018510364,0.00031118852],"about_ca_topic_score_codex":0.00060867274,"about_ca_topic_score_gemma":0.0001346695,"teacher_disagreement_score":0.73738,"about_ca_system_score_codex":0.00015878443,"about_ca_system_score_gemma":0.000016668506,"threshold_uncertainty_score":0.31128106},"labels":[],"label_agreement":null},{"id":"W1981929466","doi":"10.1075/ml.6.2.04tre","title":"The effects of N-gram probabilistic measures on the recognition and production of four-word sequences","year":2011,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Reading and Literacy Development","field":"Psychology","cited_by":92,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Trigram; Bigram; n-gram; Probabilistic logic; Computer science; Logarithm; Speech recognition; Artificial intelligence; Latency (audio); Production (economics); Gram; Natural language processing; Mathematics; Language model","score_opus":0.0802736112841805,"score_gpt":0.28245442771434043,"score_spread":0.20218081643015995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981929466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99292773,0.0002340014,0.0000025737097,0.0006287239,0.0008674843,0.0006501779,0.0000024612707,0.000013181346,0.004673685],"genre_scores_gemma":[0.99907833,0.000050437346,0.000033383778,0.000050577422,0.000039868453,0.000100756566,0.0000029321363,0.0000062698655,0.0006374381],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991246,0.00031417105,0.00017492885,0.00013498598,0.00014192829,0.000109392364],"domain_scores_gemma":[0.99924296,0.00035354545,0.00013980236,0.00021595773,0.000033597647,0.00001412197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075043587,0.00008128387,0.00008831881,0.00002136246,0.00014896004,0.000010750001,0.00012412373,0.000026544047,0.000024505156],"category_scores_gemma":[0.00013800949,0.000034545345,0.000028227421,0.000071485345,0.000286809,0.000028526227,0.00001803129,0.00008965799,0.000018071827],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016163659,0.0005973108,0.0039067524,0.00030562314,0.0004597953,0.0000039327033,0.118690155,0.0000013108049,0.051727403,0.021787465,0.0026734318,0.79823047],"study_design_scores_gemma":[0.0013057621,0.0029639048,0.18589474,0.0014840093,0.00024387875,0.00013120426,0.0086124465,0.00001727277,0.61601484,0.17825143,0.0046280646,0.00045243258],"about_ca_topic_score_codex":0.00014696128,"about_ca_topic_score_gemma":0.000016073223,"teacher_disagreement_score":0.797778,"about_ca_system_score_codex":0.000018580915,"about_ca_system_score_gemma":0.00001076121,"threshold_uncertainty_score":0.14087184},"labels":[],"label_agreement":null},{"id":"W1985526880","doi":"10.1075/ml.7.2.05lib","title":"P3","year":2012,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Calgary; Brock University","funders":"","keywords":"Computer science; Natural language processing; Set (abstract data type); Perception; Artificial intelligence; Read aloud; Word (group theory); Reading aloud; Linguistics; Speech recognition; Psychology; Programming language","score_opus":0.030584955875777968,"score_gpt":0.314254549944826,"score_spread":0.283669594069048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985526880","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72511154,0.0011517619,0.0000379271,0.00033279383,0.0013885001,0.00012684216,0.0000069422235,0.000042897304,0.27180082],"genre_scores_gemma":[0.98823255,0.0000043556997,0.000020980291,0.0012282205,0.00046969307,0.000026325952,0.000018598337,0.0000098758455,0.009989374],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994701,0.00008580607,0.00007425176,0.00007555721,0.00008313271,0.00021115274],"domain_scores_gemma":[0.9997232,0.000023507826,0.000028479,0.00017825457,0.0000048418683,0.00004174701],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00020769995,0.000063698055,0.000056746972,0.000016371676,0.000076130484,0.000009666492,0.00009366112,0.00003399525,0.0059024612],"category_scores_gemma":[0.000003174714,0.000039406717,0.000042638334,0.000047015103,0.000041461542,0.00006294931,0.000022841488,0.0000765119,0.00461654],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064713333,0.0016910619,0.014047151,0.000022390925,0.00040019644,0.000017827302,0.1451711,1.3025011e-7,0.038659323,0.3046297,0.094331615,0.40038237],"study_design_scores_gemma":[0.0063138404,0.0007374225,0.26393726,0.00006968345,0.00045430782,0.0005829113,0.09052885,0.000020261738,0.12090363,0.021798983,0.4933341,0.0013187119],"about_ca_topic_score_codex":0.000074484546,"about_ca_topic_score_gemma":0.0000041947933,"teacher_disagreement_score":0.39906365,"about_ca_system_score_codex":0.000016958345,"about_ca_system_score_gemma":0.0000025042311,"threshold_uncertainty_score":0.9961585},"labels":[],"label_agreement":null},{"id":"W1990020440","doi":"10.1075/ml.6.1.06ste","title":"The EEG/ERP technologies in linguistic research","year":2011,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Université de Montréal; Institut Universitaire de Gériatrie de Montréal","funders":"University of California, Davis","keywords":"Electroencephalography; Neuroimaging; Computer science; Functional magnetic resonance imaging; Field (mathematics); EEG-fMRI; Psychology; Cognitive science; Neuroscience","score_opus":0.15930305020447397,"score_gpt":0.37392424614554126,"score_spread":0.2146211959410673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990020440","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9743774,0.00032948816,3.798823e-7,0.0018333658,0.0003817603,0.00029139093,0.0000032616997,0.000116451796,0.022666512],"genre_scores_gemma":[0.99843085,0.00016028875,0.000015206718,0.00027408765,0.000027557006,0.000025397361,3.973369e-7,0.000008379801,0.0010578214],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99875355,0.00031972234,0.00014344371,0.00024376553,0.00016893,0.00037058193],"domain_scores_gemma":[0.9989058,0.0006277239,0.000034927692,0.0004023304,0.000014427898,0.000014789942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006876209,0.00008306154,0.00007466849,0.000067369976,0.00046096678,0.000031827727,0.0008102112,0.000054804317,0.000028670238],"category_scores_gemma":[0.001291609,0.00004057412,0.000028865896,0.0002594504,0.001094643,0.000029896299,0.0003161561,0.00046639462,0.00017426867],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017499892,0.00014571274,0.00071037165,0.0000065146155,0.0000036898189,0.00064307125,0.0134250345,1.9741191e-7,0.94095665,0.027324762,0.0005937996,0.016015194],"study_design_scores_gemma":[0.00021984137,0.00020204281,0.00059578096,0.000018971725,0.0000022403628,0.00014044084,0.004084628,0.0000204731,0.94619936,0.03958039,0.008837559,0.00009827837],"about_ca_topic_score_codex":0.000096687276,"about_ca_topic_score_gemma":0.00010619258,"teacher_disagreement_score":0.024053475,"about_ca_system_score_codex":0.000029359791,"about_ca_system_score_gemma":0.000023399401,"threshold_uncertainty_score":0.40332577},"labels":[],"label_agreement":null},{"id":"W1990857674","doi":"10.1075/ml.5.3.03wes","title":"Assessing language impairment in aphasia","year":2010,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Aphasia; Disconnection; Aphasiology; Psychology; Psycholinguistics; Computer science; Cognitive psychology; Language assessment; Linguistics; Cognition; Neuroscience","score_opus":0.025732514493328692,"score_gpt":0.33711963657732613,"score_spread":0.31138712208399744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990857674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99297076,0.000023788314,0.000001120048,0.0012259535,0.00059726933,0.00019737957,0.000004179511,0.000054596974,0.0049249353],"genre_scores_gemma":[0.99718124,0.0000027160097,0.0000484744,0.0022962026,0.00011151234,0.000008251735,0.0000026481393,0.000009641392,0.00033930893],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991948,0.00011165762,0.00013104407,0.0002255647,0.00010757053,0.00022934254],"domain_scores_gemma":[0.9995725,0.000110917645,0.00004672871,0.00023478956,0.0000027317274,0.000032330445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026502254,0.00009694129,0.000087593035,0.000045394758,0.00011517779,0.00006538964,0.00026950793,0.000044143806,0.00020293321],"category_scores_gemma":[0.00007130523,0.000060930637,0.000038972732,0.00010972177,0.00016075118,0.00014342675,0.000086740256,0.00033037202,0.00008884897],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010742131,0.0000738957,0.00038336002,0.0000022019956,6.5338423e-7,0.00039970537,0.002558035,3.3014135e-7,0.9927127,0.00020048807,0.000051374907,0.0036065131],"study_design_scores_gemma":[0.00042038097,0.000053420157,0.0014881132,0.000008670087,0.0000027766903,0.000723142,0.0011453063,0.000049751503,0.99496853,0.00032511956,0.0007118423,0.000102932485],"about_ca_topic_score_codex":0.00006233944,"about_ca_topic_score_gemma":0.000102182436,"teacher_disagreement_score":0.0045856265,"about_ca_system_score_codex":0.000016244836,"about_ca_system_score_gemma":0.000018919922,"threshold_uncertainty_score":0.24846794},"labels":[],"label_agreement":null},{"id":"W1997233319","doi":"10.1075/ml.5.2.04pai","title":"Dual coding theory and the mental lexicon","year":2010,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":164,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Mental lexicon; Mental representation; Lexicon; Cognition; Coding (social sciences); Comprehension; Cognitive psychology; Perception; Psychology; Cognitive linguistics; Linguistics; Computer science; Cognitive science; Natural language processing; Mathematics","score_opus":0.015223846613907742,"score_gpt":0.29138944234445413,"score_spread":0.2761655957305464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997233319","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90334624,0.0005238925,0.000035575806,0.0017887491,0.0021405665,0.00049263827,0.00003552544,0.0000636541,0.09157315],"genre_scores_gemma":[0.9918734,0.000028732144,0.000019570583,0.0018674337,0.00045042037,0.00006188825,0.000035540987,0.000023431694,0.005639582],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986018,0.00048538373,0.00019258416,0.0002523592,0.00018734037,0.00028053552],"domain_scores_gemma":[0.99917424,0.00031641556,0.00009344365,0.0003463968,0.0000130407,0.000056445304],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014848931,0.00017309745,0.00016579537,0.00003633393,0.0004094951,0.00007947615,0.00020721882,0.00009151795,0.0028525502],"category_scores_gemma":[0.000031939544,0.00009164019,0.000090387744,0.000070245434,0.00065093936,0.0000938692,0.000105410865,0.00039962094,0.00038288682],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013529876,0.00012585742,0.0002569796,0.0000065500667,0.00016131738,0.000012123729,0.032446727,3.5637274e-8,0.068163894,0.86832315,0.0021513097,0.026999045],"study_design_scores_gemma":[0.03520573,0.0010029043,0.026694601,0.0001261469,0.0010175376,0.0025173228,0.17420007,0.00020365491,0.18147556,0.51676816,0.058901567,0.0018867396],"about_ca_topic_score_codex":0.0001350709,"about_ca_topic_score_gemma":0.00009027863,"teacher_disagreement_score":0.351555,"about_ca_system_score_codex":0.000017992057,"about_ca_system_score_gemma":0.000012522956,"threshold_uncertainty_score":0.998059},"labels":[],"label_agreement":null},{"id":"W2000950928","doi":"10.1075/ml.8.2.03mol","title":"The lexical representation of word stress in Russian","year":2013,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Alexander von Humboldt-Stiftung","keywords":"Stress (linguistics); Stress (linguistics); Syllable; Lexicon; Psychology; N400; Linguistics; Pitch accent; Representation (politics); Prosody; Cognitive psychology; Event-related potential; Computer science; Natural language processing; Speech recognition; Electroencephalography; Neuroscience","score_opus":0.03188346195533796,"score_gpt":0.30707306745658425,"score_spread":0.27518960550124627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000950928","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99163353,0.000044186276,9.635132e-7,0.0042745983,0.00020176625,0.0002907863,0.000004898773,0.000014715494,0.0035345266],"genre_scores_gemma":[0.9986533,0.000027736687,0.000007759771,0.0005443003,0.000043834276,0.000017356797,0.000002012678,0.000005045951,0.000698688],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99917364,0.00021826038,0.0001753396,0.00015838242,0.0001145687,0.00015981816],"domain_scores_gemma":[0.9993576,0.00031427926,0.00007025113,0.00023354562,0.000004450631,0.000019912617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011758672,0.000065162254,0.00007958755,0.000022127439,0.00012081587,0.000027614795,0.0002909784,0.000028580947,0.00008830833],"category_scores_gemma":[0.00009261015,0.000032252345,0.00003721139,0.00012858135,0.0003077506,0.0000801029,0.00008040767,0.00012652989,0.000056337725],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004531358,0.00007200963,0.0018515117,0.0000034366797,0.0000021915992,0.000019410787,0.0019301553,0.000004382497,0.9817981,0.0033949749,0.00020896691,0.010669523],"study_design_scores_gemma":[0.00024279837,0.000053112075,0.00596387,0.000012566438,0.0000022320164,0.000031555126,0.00091206137,0.000093641414,0.9886589,0.003772508,0.000204595,0.000052137402],"about_ca_topic_score_codex":0.00026746377,"about_ca_topic_score_gemma":0.000085078784,"teacher_disagreement_score":0.010617386,"about_ca_system_score_codex":0.000011484557,"about_ca_system_score_gemma":0.000009332213,"threshold_uncertainty_score":0.13152125},"labels":[],"label_agreement":null},{"id":"W2001803725","doi":"10.1075/ml.8.3.03ste","title":"Phonological reduction in the first part of noun compounds","year":2013,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Noun; Plural; Linguistics; Phonological rule; Mathematics; Computer science; Phonology; Philosophy","score_opus":0.040712854232895015,"score_gpt":0.23857337142717286,"score_spread":0.19786051719427783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001803725","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93070483,0.000028134416,0.0000030409485,0.03662351,0.0012391973,0.00034495874,0.000007128681,0.000021561216,0.031027613],"genre_scores_gemma":[0.9986311,0.0000067118676,0.000017167704,0.00024252973,0.0006474745,0.00003110475,0.000015864589,0.000005296645,0.00040275307],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99939436,0.000060677063,0.00020206653,0.000090192196,0.00014033639,0.00011236249],"domain_scores_gemma":[0.9996255,0.000074304444,0.00009196529,0.00016734192,0.000032380176,0.000008518141],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00024496374,0.000071896975,0.00009388457,0.000025890718,0.00019181677,0.000078752164,0.00017898643,0.000024207733,0.0010419431],"category_scores_gemma":[0.000032275315,0.00003866712,0.000035279827,0.000023149652,0.00023332436,0.00007076905,0.000029550567,0.00009227374,0.00017363433],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032179454,0.00028597086,0.00082369824,0.000019588122,0.000029813307,7.999207e-7,0.16829567,0.00000645197,0.0011802613,0.8229452,0.0054462575,0.0009341155],"study_design_scores_gemma":[0.0019499796,0.00071657106,0.045089416,0.000197755,0.00010934055,0.00005330551,0.1808152,0.0019576782,0.0057121865,0.62125295,0.14158718,0.00055840187],"about_ca_topic_score_codex":0.0027045743,"about_ca_topic_score_gemma":0.0007492706,"teacher_disagreement_score":0.20169221,"about_ca_system_score_codex":0.000036404843,"about_ca_system_score_gemma":0.0000066130488,"threshold_uncertainty_score":0.99987125},"labels":[],"label_agreement":null},{"id":"W2002183170","doi":"10.1075/ml.9.2.02der","title":"The experimental investigation of syllable structure","year":2014,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"University of Pittsburgh","keywords":"Section (typography); Variety (cybernetics); Appeal; Perspective (graphical); Syllable; Computer science; Management science; Political science; Engineering; Artificial intelligence; Speech recognition; Law","score_opus":0.025483791462880448,"score_gpt":0.3269776295799105,"score_spread":0.30149383811703007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002183170","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.987923,0.0005284804,0.0000037431726,0.0012293853,0.0005554498,0.0001674144,0.000009912244,0.000010291006,0.009572326],"genre_scores_gemma":[0.9980198,0.0000054088437,0.000016776617,0.00019167841,0.000077525416,0.000014701426,0.000009306193,0.0000082728375,0.0016565146],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99924004,0.00022287159,0.0001231083,0.00010977089,0.00012579717,0.00017838868],"domain_scores_gemma":[0.9994496,0.00012996775,0.00005834917,0.00031555555,0.00001428304,0.00003224066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030588938,0.00006669047,0.00007410428,0.00001690226,0.00021109369,0.000016816812,0.00028150418,0.000050821334,0.00055771036],"category_scores_gemma":[0.000009645231,0.000035954,0.000027145375,0.00007048951,0.0003967595,0.000018277706,0.00007281631,0.00013927296,0.00009137627],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017334797,0.00003583973,0.0030854256,0.00000413607,0.00006786082,4.0466716e-7,0.014121609,0.0000031525256,0.92214406,0.047549054,0.009824977,0.0029901646],"study_design_scores_gemma":[0.0008730471,0.00048352193,0.05886108,0.000009195254,0.00000998033,0.0000205975,0.0024273877,0.00023038106,0.89841795,0.027591517,0.010960737,0.00011462134],"about_ca_topic_score_codex":0.00018352753,"about_ca_topic_score_gemma":0.00002719706,"teacher_disagreement_score":0.055775654,"about_ca_system_score_codex":0.000019011695,"about_ca_system_score_gemma":0.00001264419,"threshold_uncertainty_score":0.61065376},"labels":[],"label_agreement":null},{"id":"W2004983047","doi":"10.1075/ml.4.1.05wes","title":"Imageability x phonology interactions during lexical access","year":2009,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Reading and Literacy Development","field":"Psychology","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Phonology; Lexicon; Phonological rule; Linguistics; Semantics (computer science); Computer science; Cognitive psychology; Psychology; Natural language processing","score_opus":0.03337344794776098,"score_gpt":0.3763241540210944,"score_spread":0.34295070607333344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004983047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9382359,0.000057358466,0.000052384654,0.006401528,0.0011432585,0.00019536118,0.000005562578,0.0001048279,0.05380383],"genre_scores_gemma":[0.9906484,0.0000036273543,0.000076105345,0.0009794938,0.00015406571,0.000028147891,0.000013510679,0.000008140413,0.008088526],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99895406,0.00014002774,0.00024245761,0.00027592765,0.00009529723,0.00029221442],"domain_scores_gemma":[0.99942464,0.00006666687,0.00006428409,0.0003709865,0.000014969525,0.00005844946],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00018540888,0.00012883724,0.0001366063,0.000056838428,0.00022899073,0.00007081862,0.00034531314,0.00004620716,0.002522325],"category_scores_gemma":[0.0000147431565,0.00009042533,0.000070632566,0.0001133224,0.00009879115,0.00017228958,0.00007972451,0.0002677055,0.00072742056],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0043969518,0.005599846,0.10989324,0.00006283067,0.00083666533,0.00026722794,0.11828824,0.000034226487,0.24960369,0.07601755,0.07336653,0.361633],"study_design_scores_gemma":[0.0008609719,0.00011886814,0.95096684,0.000022543203,0.000016700027,0.0002442815,0.0007401958,0.00002295466,0.01844383,0.005150984,0.02318642,0.00022540837],"about_ca_topic_score_codex":0.00009165107,"about_ca_topic_score_gemma":0.000009323494,"teacher_disagreement_score":0.84107363,"about_ca_system_score_codex":0.00012469261,"about_ca_system_score_gemma":0.000014429319,"threshold_uncertainty_score":0.9983895},"labels":[],"label_agreement":null},{"id":"W2005512109","doi":"10.1075/ml.4.2.05nag","title":"Why are Noun-Verb-<i>er</i> compounds so difficult for English-speaking children?","year":2009,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Language Development and Disorders","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Verb; Noun; Linguistics; Morpheme; Argument (complex analysis); Psychology; Contingency; Word order; Computer science; Philosophy; Medicine","score_opus":0.012470674023878425,"score_gpt":0.26985481840432035,"score_spread":0.25738414438044194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005512109","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9360728,0.00091781176,0.00014022237,0.0036786417,0.0015286626,0.000988643,0.000066135326,0.00024071748,0.056366313],"genre_scores_gemma":[0.98718095,0.000007710359,0.00012788324,0.0106770685,0.00041871367,0.000042709926,0.0002487395,0.000024715984,0.0012714937],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987865,0.000059605016,0.00022714658,0.00031519966,0.00018429119,0.0004272323],"domain_scores_gemma":[0.9993951,0.000062754094,0.00012507051,0.000311497,0.00004514506,0.000060454353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017653538,0.00022340233,0.00020247156,0.00004931135,0.0003855204,0.000107132066,0.00034975732,0.00008775852,0.00041397632],"category_scores_gemma":[0.000021662696,0.0001560858,0.000115787705,0.00014819072,0.00009204243,0.0001045323,0.000043283584,0.00015179365,0.00011285637],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015740235,0.002287073,0.035229307,0.000032997887,0.0006879966,0.000030760788,0.26479366,0.0000114397235,0.007823739,0.024743175,0.6052022,0.057583638],"study_design_scores_gemma":[0.015352753,0.0009601294,0.39523035,0.00015258821,0.0002248944,0.000093965886,0.033542633,0.000052856634,0.0053710095,0.0030484833,0.5441126,0.001857727],"about_ca_topic_score_codex":0.00012546856,"about_ca_topic_score_gemma":0.00011235558,"teacher_disagreement_score":0.36000106,"about_ca_system_score_codex":0.000062834246,"about_ca_system_score_gemma":0.000016216096,"threshold_uncertainty_score":0.63649946},"labels":[],"label_agreement":null},{"id":"W2014167490","doi":"10.1075/ml.2.1.03spa","title":"Semantic property activation during the interpretation of combined concepts","year":2007,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Interpretation (philosophy); Property (philosophy); Head (geology); Noun; Computer science; Natural language processing; Artificial intelligence; Relation (database); Linguistics; Epistemology; Data mining; Philosophy; Programming language","score_opus":0.02315148110568232,"score_gpt":0.3204308365080287,"score_spread":0.2972793554023464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014167490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97910035,0.0000125383185,0.008437292,0.0014470172,0.00048154683,0.0004325111,0.0000015638128,0.00003895432,0.010048219],"genre_scores_gemma":[0.99451536,0.0000017847027,0.000014727425,0.00037407572,0.00005624813,0.000012274551,0.000021193404,0.000009490571,0.004994845],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99930376,0.000108952394,0.00023582578,0.00010064289,0.00014479183,0.000106058294],"domain_scores_gemma":[0.9994973,0.00007854989,0.00017750089,0.00018296647,0.000048419737,0.000015239542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003777009,0.000069023095,0.00007250998,0.000033710323,0.00015919324,0.000012729965,0.0001160636,0.00003988943,0.00063174847],"category_scores_gemma":[0.0000254016,0.00003419084,0.000033189164,0.00015588442,0.000096035,0.000114820694,0.000021181566,0.00009095635,0.00006628834],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00491959,0.0009970688,0.10245925,0.00015507416,0.00045427564,0.000003487216,0.14377275,0.00048809187,0.5703479,0.058026746,0.0047105183,0.113665245],"study_design_scores_gemma":[0.002254619,0.00025051463,0.8229677,0.00007352796,0.000030934843,0.000015524332,0.012897478,0.0064969403,0.15168916,0.0005191572,0.0026200004,0.00018441386],"about_ca_topic_score_codex":0.00008657053,"about_ca_topic_score_gemma":0.000023393146,"teacher_disagreement_score":0.72050846,"about_ca_system_score_codex":0.00007567988,"about_ca_system_score_gemma":0.000009615294,"threshold_uncertainty_score":0.69172025},"labels":[],"label_agreement":null},{"id":"W2014618919","doi":"10.1075/ml.9.1.06kha","title":"Word frequency of written Urdu","year":2014,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Reading and Literacy Development","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Urdu; Word lists by frequency; Computer science; Word (group theory); Natural language processing; Lexicon; Mental lexicon; Artificial intelligence; Lexical database; Linguistics; WordNet","score_opus":0.017686463562612807,"score_gpt":0.292126951055826,"score_spread":0.27444048749321315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014618919","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8338177,0.00011573747,0.000055184515,0.00081469177,0.00067683525,0.00011047959,0.000004218009,0.000029071918,0.16437608],"genre_scores_gemma":[0.99086547,0.0000017862849,0.0003134992,0.0005858538,0.00009509974,0.000016846523,0.000008469195,0.000010360578,0.008102613],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9992956,0.00010792624,0.00019108668,0.00013240582,0.00011038872,0.00016259358],"domain_scores_gemma":[0.99953175,0.000064980595,0.000072600924,0.00028734538,0.000011307717,0.000032012118],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003271708,0.000081598286,0.00011370343,0.000033070006,0.000055211876,0.000010244304,0.0002023018,0.000035048302,0.0010930945],"category_scores_gemma":[0.000008999369,0.00005314956,0.00004332476,0.000068835805,0.00006971868,0.000029525982,0.00003094087,0.000085345804,0.00055733207],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023843258,0.00062105415,0.10601069,0.000054098524,0.00039767733,0.000010236224,0.0731027,0.0000026932664,0.05081334,0.3588441,0.05025992,0.35964504],"study_design_scores_gemma":[0.0031713909,0.0005598097,0.5234959,0.00021728271,0.00007522163,0.00010533492,0.0034187483,0.00007075124,0.02624867,0.040658716,0.40126318,0.0007150016],"about_ca_topic_score_codex":0.0001869429,"about_ca_topic_score_gemma":0.000004806882,"teacher_disagreement_score":0.4174852,"about_ca_system_score_codex":0.000023433111,"about_ca_system_score_gemma":0.0000075198695,"threshold_uncertainty_score":0.99982005},"labels":[],"label_agreement":null},{"id":"W2015121227","doi":"10.1075/ml.9.3.04sha","title":"<i>N</i>-gram probability effects in a cloze task","year":2014,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Context (archaeology); Computer science; Natural language processing; Word (group theory); Task (project management); Phrase; Artificial intelligence; Conditional probability; Ranking (information retrieval); Linguistics; Mathematics; Statistics","score_opus":0.01719040882568657,"score_gpt":0.26322854769133575,"score_spread":0.24603813886564918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015121227","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940571,0.000028846049,0.000010178961,0.0011997601,0.00037562198,0.0005243957,0.000003822124,0.00007180381,0.0037284496],"genre_scores_gemma":[0.9945977,0.0000035988467,0.00003960815,0.005014627,0.000080117505,0.0000308267,0.0000020491882,0.000009172265,0.0002223033],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986108,0.0005235095,0.00015186876,0.00033421651,0.000115900635,0.00026371033],"domain_scores_gemma":[0.9991425,0.0004426131,0.000049433635,0.0003241127,0.0000039166425,0.000037378195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043629087,0.000120597746,0.0001376957,0.000029045039,0.000103866536,0.000022564356,0.00030937244,0.000048161553,0.000021425767],"category_scores_gemma":[0.00035251828,0.00007438311,0.000051706305,0.00013048068,0.0002471094,0.00005925189,0.00010918617,0.00020252007,0.00011886376],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050021277,0.00013382902,0.0006584301,0.000020650274,0.0000010625599,0.00004306892,0.0010814441,0.0000030435929,0.9901525,0.0021944342,0.00013818331,0.005523357],"study_design_scores_gemma":[0.0008225521,0.0003178931,0.0014119726,0.00002659216,0.0000059278273,0.00014014903,0.000033502445,0.00018670957,0.97331893,0.018659536,0.004913214,0.00016300137],"about_ca_topic_score_codex":0.000050158713,"about_ca_topic_score_gemma":0.00005075524,"teacher_disagreement_score":0.016833527,"about_ca_system_score_codex":0.000028718368,"about_ca_system_score_gemma":0.000012032791,"threshold_uncertainty_score":0.3033255},"labels":[],"label_agreement":null},{"id":"W2024508155","doi":"10.1075/ml.5.3.02mon","title":"Measures of phonological typicality","year":2010,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Natural language processing; Measure (data warehouse); Phonology; Lexical decision task; Coherence (philosophical gambling strategy); Artificial intelligence; Word (group theory); Lexical density; Part of speech; Linguistics; Lexical item; Mathematics; Psychology; Cognition; Statistics","score_opus":0.09233892001994032,"score_gpt":0.37820992027146483,"score_spread":0.2858710002515245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024508155","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96595097,0.000101667494,0.000011085436,0.001646954,0.00081194105,0.00013726152,0.000015465097,0.000019584973,0.031305056],"genre_scores_gemma":[0.99858046,0.0000060882576,0.00004401796,0.00015984141,0.00007570914,0.000015412028,0.000003926147,0.0000056707427,0.0011088527],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992463,0.0001416557,0.00013922238,0.00014267294,0.00012598833,0.00020417605],"domain_scores_gemma":[0.9994074,0.00010503496,0.00004065136,0.00037938578,0.000022727934,0.00004481031],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004713615,0.00006753327,0.00011522439,0.000023275506,0.00007006521,0.00000651518,0.00034084436,0.00011801344,0.0042283735],"category_scores_gemma":[0.00003785823,0.000040279756,0.000052468655,0.00007287408,0.0005253856,0.000011163116,0.00009484769,0.00043131347,0.00048402045],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005624366,0.0005098273,0.016103035,0.0000045138163,0.00010882734,0.0000058568835,0.004740494,2.1050715e-7,0.886918,0.06022402,0.0063067023,0.024516074],"study_design_scores_gemma":[0.0008796813,0.00034863694,0.8428581,0.0000032063551,0.000014555173,0.00005012821,0.00040365112,0.000016110771,0.10472399,0.028183784,0.02238699,0.00013119222],"about_ca_topic_score_codex":0.00022278576,"about_ca_topic_score_gemma":0.00008532663,"teacher_disagreement_score":0.82675505,"about_ca_system_score_codex":0.0000064938313,"about_ca_system_score_gemma":0.000016344457,"threshold_uncertainty_score":0.99668187},"labels":[],"label_agreement":null},{"id":"W2031508005","doi":"10.1075/ml.2.1.07roy","title":"Variable effects of morphology and frequency on inflection patterns in French preschoolers","year":2007,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Language Development and Disorders","field":"Psychology","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Inflection; Verb; Linguistics; Mathematics; Psychology; Morphology (biology); Computer science; Philosophy; Biology","score_opus":0.00720138942064431,"score_gpt":0.267449431331518,"score_spread":0.2602480419108737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031508005","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97313946,0.0002248762,0.00015861417,0.00008295728,0.0005144589,0.00028267328,0.0000025330908,0.000016044407,0.025578387],"genre_scores_gemma":[0.9989535,0.0000061895753,0.00010818917,0.00035740723,0.000024143903,0.000017937073,0.000010633547,0.000007900216,0.0005140739],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99935627,0.00007014303,0.00015582501,0.00014861042,0.00007695684,0.00019219129],"domain_scores_gemma":[0.99966,0.00012087581,0.00005437785,0.0001331007,0.000005747247,0.000025856994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027106225,0.00008614393,0.000100677746,0.00009723302,0.000033049793,0.000005112627,0.00008072473,0.00007205064,0.00038303412],"category_scores_gemma":[0.000018907203,0.00006371605,0.000015077465,0.000117192554,0.000047026744,0.000037327703,0.00002422557,0.00012381231,0.000026424206],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037131362,0.00053068536,0.7994764,0.00008978031,0.000114714596,0.00007480254,0.023709556,0.0000060378366,0.14024542,0.018488204,0.001256473,0.015636614],"study_design_scores_gemma":[0.0019172217,0.00033611985,0.96704245,0.000051171977,0.000012312454,0.000014471091,0.0011102911,0.0000030259648,0.025620911,0.0036542327,0.000111844,0.00012596187],"about_ca_topic_score_codex":0.002633921,"about_ca_topic_score_gemma":0.0003325161,"teacher_disagreement_score":0.16756603,"about_ca_system_score_codex":0.000037196613,"about_ca_system_score_gemma":0.000009032928,"threshold_uncertainty_score":0.4193955},"labels":[],"label_agreement":null},{"id":"W2040645113","doi":"10.1075/ml.8.2.04dur","title":"Recovery from anomia following Semantic Feature Analysis","year":2013,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Aphasia; Precentral gyrus; Psychology; Cognitive psychology; Semantic feature; Inferior parietal lobule; Neuroplasticity; Mirror neuron; Embodied cognition; Neuroscience; Superior parietal lobule; Cognition; Feature (linguistics); Medicine; Computer science; Linguistics; Artificial intelligence","score_opus":0.018833108537114975,"score_gpt":0.2804525870372638,"score_spread":0.2616194785001488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040645113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98049986,0.000118799355,0.0023910813,0.0040681297,0.0010927684,0.00022889554,0.000011203258,0.00006573301,0.011523518],"genre_scores_gemma":[0.9803317,0.0000047250487,0.00015200619,0.0015339922,0.00012408257,0.000026836642,0.00023342318,0.0000115541925,0.017581645],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993159,0.0001134868,0.000137937,0.00018272408,0.00011912081,0.00013082032],"domain_scores_gemma":[0.999524,0.000058301335,0.000082451996,0.00028602124,0.000015665048,0.000033576332],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00009677093,0.00009213408,0.00013203143,0.00006641241,0.00014560511,0.0000654488,0.00012648288,0.000076284254,0.010858932],"category_scores_gemma":[0.000008772236,0.00006644748,0.0001568221,0.0003384773,0.000019720528,0.00017922187,0.000023965398,0.00010438798,0.0020539016],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016383082,0.00040328194,0.638877,0.000008256608,0.008254835,0.000012794458,0.014317651,0.0003097026,0.039317086,0.0031743324,0.23971847,0.055442795],"study_design_scores_gemma":[0.0006877298,0.000045031386,0.9813023,0.00000801196,0.0004559895,0.0000018270991,0.0023742402,0.0030022005,0.00095781084,0.0013255399,0.009640541,0.00019875531],"about_ca_topic_score_codex":0.0010377264,"about_ca_topic_score_gemma":0.00009215813,"teacher_disagreement_score":0.34242535,"about_ca_system_score_codex":0.00007099013,"about_ca_system_score_gemma":0.0000075306916,"threshold_uncertainty_score":0.9987231},"labels":[],"label_agreement":null},{"id":"W2044497673","doi":"10.1075/ml.5.1.04mul","title":"Examining ambiguous adjectives in adjective-noun phrases","year":2010,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Adjective; Noun; Nonsense; Linguistics; Meaning (existential); Psychology; Noun phrase; Task (project management); Interpretation (philosophy); Representation (politics); Philosophy","score_opus":0.03124652842759529,"score_gpt":0.30647259284474726,"score_spread":0.27522606441715197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044497673","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88956875,0.00025568932,0.000017123983,0.00009593327,0.0012504247,0.00027435768,0.000016383354,0.00006741347,0.108453915],"genre_scores_gemma":[0.99727666,0.0000065585727,0.000043048785,0.00042081377,0.0002683519,0.00008934766,0.000021389611,0.000022916158,0.0018508881],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989309,0.0001958821,0.00017032726,0.00028342742,0.00013907162,0.00028040487],"domain_scores_gemma":[0.99948615,0.00009867128,0.00007069197,0.00028932377,0.000014703709,0.000040477153],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00035238694,0.00014781386,0.00015270704,0.0000920931,0.000115798844,0.000031206386,0.00019304406,0.000088477114,0.0019637041],"category_scores_gemma":[0.00003852574,0.00010633773,0.000050781928,0.00016308103,0.00014731393,0.00010567534,0.000046877623,0.00037765517,0.00048896624],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010209071,0.0014701968,0.032121312,0.000021343418,0.00024239703,0.00013781391,0.13702655,0.000001245084,0.48745036,0.024548601,0.0010282537,0.31493104],"study_design_scores_gemma":[0.0034255348,0.00065748894,0.8364996,0.000060724495,0.00007631022,0.00017863828,0.085408345,0.000027916962,0.061436538,0.009718063,0.0019404324,0.00057043403],"about_ca_topic_score_codex":0.0012863885,"about_ca_topic_score_gemma":0.00075840385,"teacher_disagreement_score":0.8043783,"about_ca_system_score_codex":0.000034899454,"about_ca_system_score_gemma":0.000016534832,"threshold_uncertainty_score":0.99894863},"labels":[],"label_agreement":null},{"id":"W2047972883","doi":"10.1075/ml.3.2.06sch","title":"Language switching in bilingual speech production","year":2008,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":128,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Robustness (evolution); Computer science; Fluency; Inhibitory control; Natural language processing; Language production; Verbal fluency test; Artificial intelligence; Speech production; Psychology; Speech recognition; Cognition; Biology","score_opus":0.04048896052790678,"score_gpt":0.2959701160327839,"score_spread":0.2554811555048771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047972883","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99599034,0.00008866273,9.958072e-7,0.0011553498,0.0005986231,0.00026470443,0.0000027353674,0.00008199382,0.0018166134],"genre_scores_gemma":[0.9969688,0.00002899739,0.000040159808,0.0012720815,0.00024539774,0.000004706056,0.0000025956438,0.000012044656,0.0014251939],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989781,0.00015944596,0.00016629593,0.000321295,0.00014357017,0.00023129892],"domain_scores_gemma":[0.99959135,0.0000798423,0.000054695527,0.00024427247,0.0000047470476,0.000025064346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024176997,0.000109657136,0.00010574088,0.00006726344,0.00020622028,0.000011426381,0.00022447707,0.00003869815,0.00005188585],"category_scores_gemma":[0.00022970674,0.00007206004,0.000040165924,0.00018878799,0.00013998641,0.000102000355,0.00007493761,0.00024950586,0.00010487557],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035248708,0.00006528131,0.00051947014,0.0000031083264,9.263446e-7,0.0007339154,0.011507522,0.0000043636387,0.98376244,0.000049563158,0.00007600027,0.0032421388],"study_design_scores_gemma":[0.0002502375,0.000054159318,0.00040837657,0.000011590098,0.0000021505869,0.0026610224,0.0009836393,0.000026984426,0.9950287,0.00015298843,0.0003209774,0.00009922319],"about_ca_topic_score_codex":0.00012998215,"about_ca_topic_score_gemma":0.000099159464,"teacher_disagreement_score":0.011266189,"about_ca_system_score_codex":0.00003414013,"about_ca_system_score_gemma":0.000034002853,"threshold_uncertainty_score":0.2938523},"labels":[],"label_agreement":null},{"id":"W2052801201","doi":"10.1075/ml.2.3.05ji","title":"Lexical and relational influences on the processing of Chinese modifier-noun compounds","year":2007,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Noun; Computer science; Natural language processing; Relation (database); Compound; Representation (politics); Linguistics; Artificial intelligence; Database","score_opus":0.04872314544611183,"score_gpt":0.2857866367114783,"score_spread":0.23706349126536647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052801201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91813856,0.00018226032,0.000017995939,0.0013969527,0.00009038706,0.00007213736,0.0000032149262,0.000023485412,0.08007502],"genre_scores_gemma":[0.99786854,0.0000023879286,0.000025244195,0.00040973286,0.00023190171,0.0000020580476,0.0000050132844,0.0000067974624,0.0014483382],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99938726,0.0000626436,0.0001511226,0.00008905706,0.00019752899,0.00011241031],"domain_scores_gemma":[0.9995425,0.0002584532,0.00008264608,0.00007952566,0.000017079243,0.000019829231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007217744,0.00008268015,0.000081708306,0.000028768169,0.00072879693,0.00007727528,0.00009958112,0.000020278492,0.00013527845],"category_scores_gemma":[0.00002977389,0.00003930142,0.000029582623,0.000022868928,0.0004307873,0.00009608917,0.000029131865,0.00023760325,0.000010752088],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014506612,0.00010466743,0.024921672,0.000026785663,0.000032801116,0.000001201114,0.13346072,0.000058160364,0.0015573555,0.83260715,0.0003043403,0.006780069],"study_design_scores_gemma":[0.003140812,0.001770384,0.4771302,0.0010477211,0.00012913207,0.00006457744,0.118314326,0.012313642,0.0027622362,0.16536729,0.2165946,0.0013650717],"about_ca_topic_score_codex":0.00012475331,"about_ca_topic_score_gemma":0.00009206137,"teacher_disagreement_score":0.6672399,"about_ca_system_score_codex":0.0000149378075,"about_ca_system_score_gemma":0.000011346592,"threshold_uncertainty_score":0.560539},"labels":[],"label_agreement":null},{"id":"W2053922243","doi":"10.1075/ml.9.1.03spa","title":"Relational diversity affects ease of processing even for opaque English compounds","year":2014,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Meaning (existential); Process (computing); Comprehension; Computer science; Competition (biology); Diversity (politics); Linguistics; Relation (database); Psychology; Natural language processing; Sociology; Biology; Philosophy; Data mining; Programming language","score_opus":0.04616308984134453,"score_gpt":0.2740125077424862,"score_spread":0.22784941790114166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053922243","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964117,0.000018144829,0.00010472308,0.00032569707,0.00024945333,0.0002485703,0.000026601563,0.00003398615,0.0025811133],"genre_scores_gemma":[0.9987103,8.907819e-7,0.00009571836,0.0008034152,0.0001281247,0.0000045681245,0.0000097598195,0.0000055072287,0.00024173435],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99940765,0.000116162824,0.00008382409,0.0001648955,0.000108839675,0.00011862819],"domain_scores_gemma":[0.9994101,0.00034808286,0.00008891739,0.000107404485,0.000020493992,0.000025006277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024453207,0.00006904613,0.00009141918,0.000022023814,0.00033619074,0.000009874405,0.00019314722,0.000031601157,0.000012163295],"category_scores_gemma":[0.00027511313,0.000048328555,0.000048432372,0.000051484254,0.00017544137,0.0000884486,0.00015104444,0.000073704156,0.000003549834],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019398895,0.000120389814,0.0017488637,0.000053879667,0.0000046977934,0.0000060015436,0.0060023856,0.00001697024,0.9844184,0.0047481824,0.0006139551,0.0020722707],"study_design_scores_gemma":[0.0012059821,0.00033330597,0.0015591205,0.000042542266,0.000025908083,0.000040959058,0.00024234813,0.0009843296,0.9891052,0.0035295933,0.002778483,0.00015218093],"about_ca_topic_score_codex":0.000007807652,"about_ca_topic_score_gemma":0.0000037558168,"teacher_disagreement_score":0.0057600373,"about_ca_system_score_codex":0.000015100145,"about_ca_system_score_gemma":0.00001619321,"threshold_uncertainty_score":0.25857413},"labels":[],"label_agreement":null},{"id":"W2056688612","doi":"10.1075/ml.8.1.04elb","title":"Processing of English compounds is sensitive to the constituents’ semantic transparency","year":2013,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Priming (agriculture); Transparency (behavior); Semantic memory; Computer science; Natural language processing; Representation (politics); Compound; Lexical decision task; Artificial intelligence; Chemistry; Psychology; Biology; Botany; Cognition","score_opus":0.021959405449848035,"score_gpt":0.28224431820569734,"score_spread":0.2602849127558493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056688612","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91494083,0.00017072949,0.00028538363,0.0011906942,0.0007700299,0.00069099,0.00004295026,0.00003803038,0.08187036],"genre_scores_gemma":[0.9967585,0.0000042887204,0.000029234374,0.0020241595,0.00018006082,0.000056146164,0.000018622022,0.000011606253,0.00091738347],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9991187,0.00013709326,0.00020103283,0.0001755591,0.00017183679,0.00019581264],"domain_scores_gemma":[0.9994747,0.00005412981,0.00007987351,0.00022669413,0.0001238114,0.00004077157],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00018811022,0.00011661111,0.00014636938,0.000033302364,0.00015113174,0.000035735637,0.00017373262,0.000041768177,0.0010932963],"category_scores_gemma":[0.000014898893,0.0000658978,0.000063151485,0.00013982426,0.0001755719,0.000081039005,0.000023948263,0.00011698553,0.00044448793],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003347501,0.0007201099,0.0028793693,0.000119305485,0.00044016106,0.000013928113,0.8361034,0.0000042441156,0.054017898,0.007773219,0.027184555,0.070409074],"study_design_scores_gemma":[0.0068436065,0.0013014944,0.08728054,0.00089852355,0.0010090735,0.00017326037,0.45530096,0.00044261082,0.4133323,0.005792974,0.026085028,0.0015396258],"about_ca_topic_score_codex":0.0005085221,"about_ca_topic_score_gemma":0.00004772388,"teacher_disagreement_score":0.38080242,"about_ca_system_score_codex":0.000019308365,"about_ca_system_score_gemma":0.000016228469,"threshold_uncertainty_score":0.9998198},"labels":[],"label_agreement":null},{"id":"W2058450357","doi":"10.1075/ml.6.1.07sha","title":"Formulaic sequences","year":2011,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Reading and Literacy Development","field":"Psychology","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Phrase; Psycholinguistics; Sentence; Computer science; Ambiguity; Reading (process); Word (group theory); Natural language processing; Cognition; Sentence processing; Relevance (law); Mental lexicon; Mental representation; Linguistics; Representation (politics); Artificial intelligence; Cognitive psychology; Psychology","score_opus":0.06022610391720406,"score_gpt":0.3126420917767447,"score_spread":0.2524159878595406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058450357","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6900987,0.00011609538,0.000017844262,0.00017954773,0.00073297805,0.000103791426,0.0000025519846,0.000043140462,0.30870536],"genre_scores_gemma":[0.98207086,0.00000359814,0.0002434231,0.0004971462,0.000050093506,0.000027721633,0.000006732304,0.0000074370605,0.017092966],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994629,0.00004583191,0.000116848714,0.00012063833,0.00007909417,0.00017470929],"domain_scores_gemma":[0.9997174,0.000018070614,0.000037822683,0.00018947432,0.0000058190367,0.000031427684],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00018139869,0.00007313562,0.00006333344,0.00002365685,0.00009832438,0.000012615623,0.00018413572,0.000026141162,0.0028064717],"category_scores_gemma":[0.0000016259412,0.000043182,0.000032319047,0.00005246302,0.000061833816,0.000051281342,0.000028191478,0.00006938021,0.0017399746],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043761762,0.00049728603,0.043009963,0.000022472392,0.00035816673,0.000078468816,0.41571152,3.6943075e-7,0.008287233,0.338259,0.029712915,0.16362499],"study_design_scores_gemma":[0.0026613132,0.00096604106,0.36576456,0.0001729198,0.00008255999,0.0005533061,0.019740362,0.000047560017,0.083888024,0.06770041,0.45729554,0.0011273945],"about_ca_topic_score_codex":0.00026532888,"about_ca_topic_score_gemma":0.000006100902,"teacher_disagreement_score":0.42758262,"about_ca_system_score_codex":0.000027158609,"about_ca_system_score_gemma":0.000008881481,"threshold_uncertainty_score":0.99903727},"labels":[],"label_agreement":null},{"id":"W2059657508","doi":"10.1075/ml.2.1.06nic","title":"Acquisition of deverbal compounds by French-speaking preschoolers","year":2007,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Reading and Literacy Development","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Comprehension; Object (grammar); Linguistics; Vocabulary; Meaning (existential); Simplicity; Verb; Subject (documents); Psychology; Simple (philosophy); Computer science; Action (physics); Philosophy; Physics","score_opus":0.01488282763517529,"score_gpt":0.2961481265973296,"score_spread":0.2812652989621543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059657508","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9152131,0.00030123678,0.00046068523,0.0002247814,0.0007162911,0.00015136672,0.000015162969,0.000035013185,0.08288236],"genre_scores_gemma":[0.9964612,0.0000023497225,0.0002658517,0.00033543573,0.00007367423,0.0000063670523,0.000056472043,0.000011179515,0.0027874361],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99908924,0.000062577354,0.0002688708,0.00015901988,0.00018285356,0.00023742646],"domain_scores_gemma":[0.99955136,0.00007249806,0.00011415216,0.00019859723,0.000017327306,0.000046058038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052511715,0.00010433252,0.000114462906,0.000045173543,0.000094053146,0.000018203022,0.00018089794,0.000050927563,0.00054195605],"category_scores_gemma":[0.000003383002,0.000077264136,0.00004538896,0.00009847843,0.00008098859,0.0000648613,0.000038407154,0.000111270376,0.0001281591],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001012373,0.0010463748,0.077237785,0.00006228921,0.0006523603,0.00003548562,0.113752104,0.000010309408,0.4080067,0.017582182,0.25654542,0.1240566],"study_design_scores_gemma":[0.003863024,0.00052363693,0.5231602,0.00026828982,0.000077765995,0.00015205781,0.0076819183,0.000060315127,0.1984607,0.0022935916,0.26269963,0.00075886084],"about_ca_topic_score_codex":0.0003947181,"about_ca_topic_score_gemma":0.000011135418,"teacher_disagreement_score":0.4459224,"about_ca_system_score_codex":0.000087572334,"about_ca_system_score_gemma":0.0000101694495,"threshold_uncertainty_score":0.5934039},"labels":[],"label_agreement":null},{"id":"W2060662418","doi":"10.1075/ml.8.2.05roy","title":"ERPs and task effects in the auditory processing of gender agreement and semantics in French","year":2013,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; McGill University; Centre for Research on Brain Language and Music","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"P600; Task (project management); Psychology; Cognitive psychology; Concreteness; Comprehension; Noun; Semantics (computer science); Active listening; Adjective; Agreement; Event-related potential; Cognition; Computer science; Natural language processing; Linguistics; Communication; N400","score_opus":0.019590596175071265,"score_gpt":0.2636546350732787,"score_spread":0.24406403889820744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060662418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981644,0.00036529757,0.0000016952761,0.0006082112,0.00009126558,0.00037424025,0.0000014268857,0.000004445842,0.00038898227],"genre_scores_gemma":[0.99875754,0.000027055152,0.000016409944,0.001090793,0.000032578373,0.000013770767,5.2981744e-7,0.0000034033023,0.000057903748],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993506,0.0001696141,0.00011422471,0.00015082111,0.00008889447,0.00012581026],"domain_scores_gemma":[0.99964136,0.00019209419,0.00004982356,0.00010039012,0.0000036829624,0.000012634193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020635316,0.00007208239,0.00008686224,0.000033477656,0.000055133372,0.000020591075,0.00012234593,0.00002672998,0.000007032814],"category_scores_gemma":[0.00004083066,0.00003814013,0.000009685848,0.00006874151,0.00020987038,0.00007015525,0.00007203229,0.000114324626,0.0000032863193],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000060395473,0.00007016425,0.0037662226,0.00007375191,0.0000013115119,0.000039785864,0.014055306,9.609536e-7,0.977117,0.000057844147,0.00019025631,0.0046213274],"study_design_scores_gemma":[0.002579258,0.00058999873,0.23537739,0.00026273754,0.000032787928,0.00047876607,0.005335676,0.0014408634,0.74587923,0.007149489,0.00047109704,0.0004027196],"about_ca_topic_score_codex":0.00009182624,"about_ca_topic_score_gemma":0.000031720083,"teacher_disagreement_score":0.23161116,"about_ca_system_score_codex":0.000007256801,"about_ca_system_score_gemma":0.000009569427,"threshold_uncertainty_score":0.15553093},"labels":[],"label_agreement":null},{"id":"W2065143701","doi":"10.1075/ml.4.1.03gag","title":"Does s <i>now man</i> prime <i>plastic snow</i>?","year":2009,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Relation (database); Prime (order theory); Priming (agriculture); Noun; Information processing; Computer science; Artificial intelligence; Natural language processing; Linguistics; Mathematics; Psychology; Cognitive psychology; Data mining; Combinatorics; Philosophy; Biology","score_opus":0.01582998582877449,"score_gpt":0.2662019629481324,"score_spread":0.25037197711935794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065143701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9857609,0.000049575465,0.000011277438,0.006033637,0.0011165526,0.00025786646,0.000015071699,0.00014715015,0.0066079563],"genre_scores_gemma":[0.98108584,0.000030794137,0.000018874927,0.015545408,0.00021807065,0.0000042319007,0.000004525442,0.000010169017,0.0030820637],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99890375,0.000132784,0.00016001165,0.0003339775,0.00016170916,0.00030778747],"domain_scores_gemma":[0.9992899,0.00026861363,0.00006781396,0.00031374508,0.0000060311727,0.000053936616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012170987,0.00015655154,0.0001297231,0.000030209481,0.00022937036,0.0000439857,0.00040282134,0.000047820762,0.00015429908],"category_scores_gemma":[0.00010650711,0.0000719027,0.000069911235,0.00010605025,0.00019669108,0.00009371546,0.00006936178,0.0001890265,0.0004438055],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052705207,0.00008289421,0.000041241037,0.0000018802334,0.0000018568808,0.00014451199,0.00048384824,0.0000011442692,0.99432695,0.00036353935,0.0013393355,0.0031600876],"study_design_scores_gemma":[0.00032217937,0.00022012256,0.00020657488,0.0000158502,0.000010802811,0.00023551814,0.000059767135,0.0000230706,0.98652285,0.0018849157,0.010359414,0.00013892924],"about_ca_topic_score_codex":0.000005265897,"about_ca_topic_score_gemma":0.000007785715,"teacher_disagreement_score":0.009511771,"about_ca_system_score_codex":0.000019751296,"about_ca_system_score_gemma":0.000015788246,"threshold_uncertainty_score":0.570437},"labels":[],"label_agreement":null},{"id":"W2065470335","doi":"10.1075/ml.6.3.04zha","title":"Topological spatial representation across and within languages","year":2011,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Categorization, perception, and language","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Fonds de Recherche du Québec-Société et Culture; Heilongjiang University","keywords":"Mandarin Chinese; Representation (politics); Linguistics; Point (geometry); Topology (electrical circuits); Computer science; Psychology; Mathematics; Combinatorics; Geometry","score_opus":0.058828986491581206,"score_gpt":0.3707404419017112,"score_spread":0.31191145541013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065470335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.977979,0.00013384227,0.00022994493,0.00015980871,0.0004297208,0.00017601356,0.0000147775745,0.00006025588,0.020816654],"genre_scores_gemma":[0.99538445,0.0000104065875,0.000057748137,0.00026845792,0.00018661827,0.000018118299,0.000045765206,0.000008931186,0.004019472],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99936235,0.00010580111,0.0001294998,0.00018105663,0.000080252416,0.00014101299],"domain_scores_gemma":[0.9996913,0.000022234399,0.000053073454,0.00018937697,0.0000104242845,0.000033592212],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017637419,0.00007954849,0.00007832552,0.000014977283,0.00015681626,0.000021915708,0.00009060366,0.000060198978,0.0043820483],"category_scores_gemma":[0.000009042421,0.000052520638,0.000025978976,0.000052144067,0.0001837296,0.000059737267,0.000041650124,0.00007790682,0.0001567339],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054665806,0.00029838606,0.13264784,0.000009817337,0.00007969498,0.000035918754,0.7520888,9.860462e-7,0.019774841,0.065718316,0.0012874191,0.027511355],"study_design_scores_gemma":[0.000801344,0.00019600306,0.9114202,0.0000043067016,0.000020914145,0.00010047029,0.078672275,0.000026162905,0.0056237974,0.0026195038,0.00036370862,0.0001512734],"about_ca_topic_score_codex":0.004166218,"about_ca_topic_score_gemma":0.0008601295,"teacher_disagreement_score":0.7787724,"about_ca_system_score_codex":0.0000146640505,"about_ca_system_score_gemma":0.0000038978164,"threshold_uncertainty_score":0.9965281},"labels":[],"label_agreement":null},{"id":"W2070495689","doi":"10.1075/ml.4.3.03mon","title":"Lexical access of mass and count nouns","year":2009,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut Universitaire de Gériatrie de Montréal; McGill University; Université de Montréal; Centre for Interdisciplinary Research in Rehabilitation","funders":"","keywords":"Plural; Noun; Computer science; Linguistics; Feature (linguistics); Sentence; Context (archaeology); Natural language processing; Priming (agriculture); Artificial intelligence; Sentence processing; History","score_opus":0.040579427819457156,"score_gpt":0.32793716353102564,"score_spread":0.2873577357115685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070495689","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933604,0.00007541653,0.0000068298805,0.002697994,0.00012346586,0.00012873327,0.000013503986,0.000023352697,0.0035703129],"genre_scores_gemma":[0.99506116,0.000042657943,0.000015084683,0.0046038204,0.000049175957,0.0000011765696,0.0000013890999,0.0000034616128,0.00022205312],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99941087,0.00006699137,0.000116686446,0.00017005387,0.000102481514,0.00013293028],"domain_scores_gemma":[0.9996949,0.000088666646,0.00003693414,0.00014593646,0.0000054953634,0.000028067947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011074467,0.00007424808,0.00009983081,0.000020312034,0.0000871575,0.000025130272,0.00025186755,0.000031452037,0.000050275044],"category_scores_gemma":[0.00003666405,0.00004495224,0.000028169223,0.000061057435,0.00023252922,0.00008410739,0.00005018971,0.000094040275,0.000009655104],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044647215,0.000039507187,0.00013804334,0.000002886564,0.0000011804411,0.000034030065,0.00043564066,5.225648e-7,0.9960884,0.0016389702,0.00014144319,0.0014347256],"study_design_scores_gemma":[0.0002671772,0.00020776634,0.001131494,0.000008511689,0.0000062858912,0.00015437504,0.00006668059,0.000032263197,0.99415725,0.0030456888,0.00085594103,0.000066546854],"about_ca_topic_score_codex":0.000012152697,"about_ca_topic_score_gemma":0.0000023239286,"teacher_disagreement_score":0.0033482597,"about_ca_system_score_codex":0.0000076280216,"about_ca_system_score_gemma":0.000010235035,"threshold_uncertainty_score":0.18330993},"labels":[],"label_agreement":null},{"id":"W2073998353","doi":"10.1075/ml.3.2.04per","title":"Defining regularity","year":2008,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Institut Universitaire de Gériatrie de Montréal","funders":"","keywords":"Facilitation; Alternation (linguistics); Variation (astronomy); Contrast (vision); Repertoire; Priming (agriculture); Psychology; Linguistics; Computer science; Artificial intelligence; Biology; Physics; Acoustics; Neuroscience","score_opus":0.05365861098059718,"score_gpt":0.3503851887004913,"score_spread":0.2967265777198941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073998353","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90801036,0.00070907734,0.000009472396,0.0015191562,0.0004460088,0.00010040222,0.000008595947,0.000030342344,0.08916658],"genre_scores_gemma":[0.99007535,0.000024679213,0.000056055756,0.0004140061,0.000056255587,0.000017201282,0.000010037971,0.000009069146,0.009337373],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99929863,0.0001203076,0.00009041557,0.00014045917,0.00010778112,0.00024242247],"domain_scores_gemma":[0.9995576,0.000062679916,0.00002393001,0.00030539892,0.000009317442,0.000041048563],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002284416,0.00006457348,0.00007823014,0.000025572386,0.00026919035,0.0000067134315,0.0002235172,0.000057412384,0.0017523478],"category_scores_gemma":[0.000008347376,0.000045212117,0.000038030794,0.000079577025,0.0002704218,0.00001722282,0.000084418214,0.00021960653,0.002169002],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012345335,0.001164946,0.12951626,0.000015409409,0.00053961476,0.00044839643,0.13101333,0.0000052412315,0.056352187,0.37476218,0.27691698,0.028030908],"study_design_scores_gemma":[0.0016727344,0.00041261606,0.9202408,0.000010030616,0.000014735153,0.0009776048,0.0010157306,0.00006598993,0.01604142,0.01678442,0.04249117,0.00027274367],"about_ca_topic_score_codex":0.0003006836,"about_ca_topic_score_gemma":0.000018049286,"teacher_disagreement_score":0.7907245,"about_ca_system_score_codex":0.000020544758,"about_ca_system_score_gemma":0.000019208934,"threshold_uncertainty_score":0.9991602},"labels":[],"label_agreement":null},{"id":"W2074781470","doi":"10.1075/ml.2.2.09wes","title":"LINGUA","year":2007,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Lingua franca; Computer science; Natural language processing; Artificial intelligence; Neighbourhood (mathematics); Generator (circuit theory); Java; Set (abstract data type); Linguistics; Programming language; Mathematics","score_opus":0.01237956198954438,"score_gpt":0.28987693490315514,"score_spread":0.27749737291361076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074781470","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07773548,0.0044909436,0.8888133,0.0055971313,0.0009352454,0.00035259666,0.0000011972733,0.0017455515,0.020328538],"genre_scores_gemma":[0.8616366,0.0000029433752,0.13675466,0.0010301842,0.00007714076,0.0000016971974,7.43263e-7,0.000004482379,0.0004915414],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99942464,0.000015017067,0.000093147304,0.00013144356,0.0001592857,0.00017644894],"domain_scores_gemma":[0.9995744,0.000038890157,0.00003918612,0.000302017,0.000015060659,0.000030395806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005001604,0.00006500247,0.000048439375,0.000033655666,0.00011618581,0.000076895296,0.00079961726,0.000027464179,0.0000096320655],"category_scores_gemma":[0.000015449774,0.00003991525,0.000026829712,0.00016115942,0.0000407343,0.00016961282,0.00022294132,0.00011942534,0.000047901718],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016230873,0.00005072508,0.0001581006,0.000008749209,0.000009919355,0.000039494826,0.0033437528,3.3642743e-7,0.10202504,0.46001944,0.001994854,0.43233338],"study_design_scores_gemma":[0.00011962145,0.000055353474,0.00018495189,0.000020983305,0.0000021422227,0.00005796312,0.000053119085,0.00055696646,0.89407563,0.09713439,0.007603247,0.00013562417],"about_ca_topic_score_codex":0.000022958446,"about_ca_topic_score_gemma":0.0000071832565,"teacher_disagreement_score":0.7920506,"about_ca_system_score_codex":0.00004071984,"about_ca_system_score_gemma":0.000013283847,"threshold_uncertainty_score":0.16276966},"labels":[],"label_agreement":null},{"id":"W2079979031","doi":"10.1075/ml.2.2.06gag","title":"The availability of noun properties during the interpretation of novel noun phrases","year":2007,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Noun phrase; Head (geology); Determiner phrase; Noun; Endocentric and exocentric; Nominalization; Natural language processing; Linguistics; Phrase; Interpretation (philosophy); Property (philosophy); Proper noun; Computer science; Artificial intelligence; Representation (politics); Mathematics; Philosophy","score_opus":0.03242891180833049,"score_gpt":0.28006380152770943,"score_spread":0.24763488971937894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079979031","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99768245,0.0001638219,0.000016565065,0.0005229559,0.00024869436,0.00033103448,0.000014747268,0.000017597804,0.0010021565],"genre_scores_gemma":[0.9992224,0.00001979801,0.0000081176595,0.00032093463,0.000040494684,0.0000051122743,6.603074e-7,0.000006223931,0.00037627725],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99910325,0.00012336494,0.00028295084,0.00015752928,0.00016755909,0.00016537371],"domain_scores_gemma":[0.99897116,0.000499632,0.000173819,0.0003186658,0.000023361314,0.000013336668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006958652,0.000088663684,0.00010065294,0.00001772686,0.00027938397,0.000015803029,0.00040356044,0.000025517378,0.000016139076],"category_scores_gemma":[0.00032771876,0.00003585336,0.00006572711,0.000094270734,0.0009205114,0.00006763511,0.00011880819,0.00012195577,0.000006014086],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000288659,0.00008576933,0.00028558326,0.000018933275,0.0000050285885,0.0000020952587,0.0061952537,0.0000055412356,0.99189305,0.00020581143,0.0000061998894,0.0010080606],"study_design_scores_gemma":[0.00021666498,0.00009212196,0.0014280939,0.000025532348,0.000008001671,0.000054054373,0.0018101013,0.00012253586,0.9960159,0.00006523662,0.0001164153,0.000045312132],"about_ca_topic_score_codex":0.000071852955,"about_ca_topic_score_gemma":0.00007593027,"teacher_disagreement_score":0.0043851524,"about_ca_system_score_codex":0.000022170394,"about_ca_system_score_gemma":0.000018268745,"threshold_uncertainty_score":0.33916625},"labels":[],"label_agreement":null},{"id":"W2082649433","doi":"10.1075/ml.9.3.05tit","title":"Time-dependent effects of decomposability, familiarity and literal plausibility on idiom meaning activation","year":2014,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia; McGill University","funders":"","keywords":"Literal and figurative language; Priming (agriculture); Phrase; Linguistics; Comprehension; Meaning (existential); Literal (mathematical logic); Psychology; Computer science; Natural language processing; Philosophy","score_opus":0.012155289695783417,"score_gpt":0.28183647390715233,"score_spread":0.2696811842113689,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082649433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9856921,0.00004102354,0.00016676202,0.00011342738,0.00030260856,0.00043128183,0.000009041519,0.0000402597,0.01320354],"genre_scores_gemma":[0.9992793,0.0000019232978,0.000031604843,0.0002859539,0.00008454376,0.00002137148,0.000024531897,0.000010716167,0.00026003443],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986573,0.00052676216,0.00019793822,0.0002730472,0.00019009368,0.00015484472],"domain_scores_gemma":[0.99910873,0.00040396745,0.00010260659,0.00032249896,0.000021854436,0.000040349227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070042314,0.00012716859,0.00017917906,0.000037075893,0.000099081546,0.000018531784,0.0001096427,0.000073317075,0.00015704917],"category_scores_gemma":[0.00007363466,0.0000894901,0.00005490946,0.00006411184,0.00012688171,0.00007622925,0.000058863217,0.00014982306,0.00006916098],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003306243,0.002588954,0.032404233,0.00047724473,0.00037806682,0.000006543664,0.058388453,0.000010033372,0.66125524,0.040098336,0.00042637016,0.2006603],"study_design_scores_gemma":[0.0051721814,0.0022704273,0.28424993,0.00028210186,0.00017051632,0.000026979771,0.0021063015,0.001390129,0.655391,0.048188064,0.00024343363,0.0005089483],"about_ca_topic_score_codex":0.00025053223,"about_ca_topic_score_gemma":0.000022324164,"teacher_disagreement_score":0.25184572,"about_ca_system_score_codex":0.00005255398,"about_ca_system_score_gemma":0.000005396862,"threshold_uncertainty_score":0.36493003},"labels":[],"label_agreement":null},{"id":"W2086140151","doi":"10.1075/ml.3.1.05seg","title":"Feeling affect in a second language","year":2008,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Educational and Psychological Assessments","field":"Psychology","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Automaticity; Affect (linguistics); Psychology; Operationalization; Mental lexicon; Noun; Valence (chemistry); Feeling; Lexicon; Cognitive psychology; Task (project management); Word processing; Linguistics; Cognition; Computer science; Natural language processing; Social psychology; Communication","score_opus":0.05530365155251322,"score_gpt":0.39024323200900635,"score_spread":0.33493958045649314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086140151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8910292,0.00028351432,0.000003409614,0.0008849529,0.00058139797,0.00015975698,0.000008131072,0.000021843094,0.10702784],"genre_scores_gemma":[0.9842568,0.000004721976,0.00004107082,0.0012549956,0.00012743144,0.000044672095,0.000016501273,0.0000069005127,0.01424691],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99934,0.000119930126,0.000117027594,0.00015819843,0.00008979655,0.00017502211],"domain_scores_gemma":[0.9996758,0.00009353738,0.00003326043,0.0001621097,0.000003864984,0.0000314349],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00017442665,0.00007752002,0.0000833874,0.00003173116,0.00008149327,0.0000062929817,0.00015154887,0.000039909257,0.009304999],"category_scores_gemma":[0.000004492496,0.000049511964,0.000037529913,0.00010711444,0.00006227382,0.000032007778,0.00002327263,0.00015562946,0.0011449616],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00078764826,0.004149538,0.5925569,0.000029713485,0.00024529427,0.0004945662,0.2044671,0.00000697966,0.06903178,0.029896557,0.06846634,0.029867575],"study_design_scores_gemma":[0.0009055959,0.00013059688,0.98606026,0.000013558407,0.0000035482344,0.00014421174,0.004696522,0.0000066187727,0.0011646624,0.0011396689,0.0055995127,0.00013523115],"about_ca_topic_score_codex":0.00010295894,"about_ca_topic_score_gemma":0.00003737852,"teacher_disagreement_score":0.39350337,"about_ca_system_score_codex":0.00003331264,"about_ca_system_score_gemma":0.00000988481,"threshold_uncertainty_score":0.9996328},"labels":[],"label_agreement":null},{"id":"W2086143772","doi":"10.1075/ml.9.1.02wil","title":"Estimating second language productive vocabulary size","year":2014,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Vocabulary; Animacy; Cognitive psychology; Stimulus (psychology); Psychology; Lexical access; Computer science; Natural language processing; Linguistics; Artificial intelligence; Cognition","score_opus":0.009818832915785381,"score_gpt":0.2948278677782564,"score_spread":0.28500903486247103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086143772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.895922,0.00080310315,0.00017716608,0.0007137259,0.0009356501,0.00021367203,0.000006060564,0.0001158549,0.10111275],"genre_scores_gemma":[0.9756429,9.558399e-8,0.0006472144,0.007632893,0.00075523084,0.000026783688,0.000021204998,0.00002357998,0.015250079],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99898845,0.0002764059,0.00014694849,0.00024680156,0.000109728644,0.00023165115],"domain_scores_gemma":[0.9992957,0.00019427156,0.00008666608,0.00036683277,0.000011448214,0.000045092398],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004915853,0.00011973543,0.000120702854,0.00002707734,0.00018061415,0.000034508717,0.00017916686,0.000045974422,0.0780393],"category_scores_gemma":[0.00009753986,0.00008636533,0.000052474887,0.00007909244,0.00007968485,0.00006837419,0.000048249756,0.00023117589,0.0013176032],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046091166,0.00048340502,0.001008681,0.0000914298,0.00046461902,0.00014602054,0.47983935,0.000102387436,0.16425823,0.02448184,0.040663544,0.28799957],"study_design_scores_gemma":[0.016306639,0.0028357764,0.189442,0.00042233284,0.00039530767,0.0029662421,0.38867354,0.011849968,0.14289339,0.008529781,0.23172836,0.003956662],"about_ca_topic_score_codex":0.00005450139,"about_ca_topic_score_gemma":0.000005765333,"teacher_disagreement_score":0.28404292,"about_ca_system_score_codex":0.000027145623,"about_ca_system_score_gemma":0.000006793386,"threshold_uncertainty_score":0.99946},"labels":[],"label_agreement":null},{"id":"W2092591469","doi":"10.1075/ml.7.1.05mel","title":"Localizing the component processes of lexical access using modern neuroimaging techniques","year":2012,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital","funders":"","keywords":"Neuroimaging; Cognition; Computer science; Cognitive psychology; Cognitive science; Psychology; Brain activity and meditation; Functional neuroimaging; Neuroscience; Electroencephalography","score_opus":0.33442270136655516,"score_gpt":0.44533890083377525,"score_spread":0.11091619946722009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092591469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960166,0.000264226,0.00017736327,0.0021685567,0.00025656598,0.00031144585,0.000006883377,0.000070094844,0.0007282259],"genre_scores_gemma":[0.9982447,0.00003200018,0.00003599605,0.001535902,0.00008987645,0.000014458893,4.7779184e-7,0.000012710617,0.000033900636],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989775,0.0001343829,0.00019038054,0.00018815622,0.00021820396,0.00029137701],"domain_scores_gemma":[0.9995219,0.00011496658,0.00011354245,0.00019888456,0.000017052547,0.00003362649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017555803,0.00013502609,0.00013990689,0.000028046967,0.00039452396,0.000040902305,0.00048553362,0.000022814673,0.0000109210305],"category_scores_gemma":[0.00002549979,0.00006701674,0.000047738755,0.00018868025,0.0006038974,0.00033558285,0.00036388866,0.00017927386,0.0000048978304],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003528516,0.00014791336,0.007547714,0.000019589743,0.0000027148344,0.0000017250426,0.0006733512,0.0000031166896,0.98778605,0.00012603396,0.00008347676,0.0035730195],"study_design_scores_gemma":[0.00008348064,0.00003596271,0.0015463724,0.00003109242,0.000022017153,0.00006890747,0.00013520867,0.00025915809,0.99680066,0.0005827946,0.00034365966,0.00009068187],"about_ca_topic_score_codex":0.000050648865,"about_ca_topic_score_gemma":0.0000023386967,"teacher_disagreement_score":0.009014605,"about_ca_system_score_codex":0.000021481077,"about_ca_system_score_gemma":0.000009576627,"threshold_uncertainty_score":0.30343992},"labels":[],"label_agreement":null},{"id":"W2137939897","doi":"10.1075/ml.6.1.01elm","title":"Lexical knowledge without a lexicon?","year":2011,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute on Deafness and Other Communication Disorders; National Institute of Mental Health; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Lexicon; Mental lexicon; Sentence; Meaning (existential); Linguistics; Set (abstract data type); Interpretation (philosophy); Focus (optics); Computer science; Psychology; Natural language processing; Philosophy","score_opus":0.07448899875967593,"score_gpt":0.27048610453649896,"score_spread":0.19599710577682303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137939897","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24058275,0.00017019601,0.0003342411,0.009262219,0.0050168294,0.00064104947,0.000042767893,0.00031890138,0.74363106],"genre_scores_gemma":[0.9872301,0.000004514947,0.00028664115,0.0004194715,0.0015432051,0.000026068452,0.000017882972,0.00003400313,0.010438081],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989177,0.00009445555,0.0002812134,0.00023391093,0.00018304719,0.00028965506],"domain_scores_gemma":[0.99936515,0.000057884798,0.00011104287,0.00032971316,0.000067599125,0.000068609705],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00031294252,0.00019168704,0.00019136227,0.000056883862,0.0004435992,0.000113088674,0.00030311,0.00004865627,0.0043990267],"category_scores_gemma":[0.000059035083,0.00013220723,0.00009618198,0.000027785281,0.0003899364,0.00012121328,0.000105901316,0.00016795326,0.0017640833],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057033565,0.00017761996,0.00039745675,0.000012033312,0.0000391216,0.0000022472066,0.14257455,4.593735e-8,0.0001875636,0.85471743,0.00044916515,0.001385705],"study_design_scores_gemma":[0.0018189969,0.00052513636,0.0030122595,0.00014110042,0.00023911482,0.0000350902,0.0273608,0.0012114868,0.010108966,0.8838585,0.0708665,0.00082205946],"about_ca_topic_score_codex":0.0012168365,"about_ca_topic_score_gemma":0.0017899699,"teacher_disagreement_score":0.74664736,"about_ca_system_score_codex":0.00006926492,"about_ca_system_score_gemma":0.000050171784,"threshold_uncertainty_score":0.9990132},"labels":[],"label_agreement":null},{"id":"W2150630862","doi":"10.1075/ml.5.1.06baa","title":"A real experiment is a factorial experiment?","year":2010,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":89,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Factorial experiment; Mathematics; Statistics; Computer science; Artificial intelligence","score_opus":0.016361447109000178,"score_gpt":0.31600834063477085,"score_spread":0.2996468935257707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150630862","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86972797,0.00013523364,0.09049683,0.0034828954,0.0034852019,0.0009652104,0.000008972474,0.0013165924,0.030381063],"genre_scores_gemma":[0.97473294,0.0000147098035,0.023875576,0.00031107446,0.000284113,0.00008233158,0.0000029902594,0.000013365457,0.00068291323],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99874467,0.00004286963,0.00020565838,0.00036188104,0.00037044653,0.00027446685],"domain_scores_gemma":[0.9988342,0.00003239697,0.00009802637,0.00093099463,0.000023188857,0.00008118291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017713723,0.00017588398,0.00015636288,0.000053935404,0.00020374861,0.0001387524,0.0011344575,0.00005990662,0.00024052389],"category_scores_gemma":[0.000006302678,0.00012152915,0.00011337397,0.00016784795,0.00010261707,0.00038730403,0.0004584637,0.000213906,0.00010020235],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012556984,0.000087911685,0.00004244703,8.165018e-7,0.000021737565,0.0000026215143,0.005688558,2.502804e-7,0.92801976,0.05740183,0.0025036908,0.006217807],"study_design_scores_gemma":[0.0002501748,0.00009138152,0.000051065945,0.00000365988,0.0000049675205,0.000006652485,0.00012437084,0.0008806179,0.9745613,0.006755418,0.017101724,0.00016870904],"about_ca_topic_score_codex":0.00014756521,"about_ca_topic_score_gemma":0.000014915188,"teacher_disagreement_score":0.10500493,"about_ca_system_score_codex":0.00008462057,"about_ca_system_score_gemma":0.000031564334,"threshold_uncertainty_score":0.49558148},"labels":[],"label_agreement":null},{"id":"W2283490215","doi":"10.1075/ml.10.2.06aze","title":"Lexicality judgements in healthy aging and in individuals with Alzheimer's disease","year":2015,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Alzheimer Society","keywords":"Lexical decision task; Psychology; Context (archaeology); Disease; Young adult; Ageing; Audiology; Developmental psychology; Cognitive psychology; Cognition; Medicine; Neuroscience; Biology; Pathology","score_opus":0.07533536844577424,"score_gpt":0.33716940174730103,"score_spread":0.26183403330152677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2283490215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944558,0.00033397193,5.8510113e-7,0.0043799267,0.00008981955,0.00033964196,0.000015832848,0.000021049322,0.00036334267],"genre_scores_gemma":[0.9937745,0.00001661143,0.000020033653,0.006110016,0.0000258559,0.000014695911,0.0000045399456,0.0000073184924,0.000026431377],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99887073,0.00028705393,0.0001553118,0.0002917807,0.0001561419,0.00023900479],"domain_scores_gemma":[0.9995844,0.000079708545,0.00005003611,0.00016557903,0.0000039440692,0.00011637579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043480538,0.000103392034,0.00011674988,0.000058688274,0.000060492956,0.000025762514,0.00016178071,0.000021987888,0.000009411722],"category_scores_gemma":[0.000054348864,0.00006477261,0.000011536695,0.00014280708,0.00021113416,0.00010920574,0.00012401187,0.00015695537,0.000011485225],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017594951,0.0008976479,0.95313156,0.000034059238,0.000018494184,0.0012753917,0.015237349,0.000045514622,0.020594304,0.00095420156,0.00037180595,0.005680174],"study_design_scores_gemma":[0.02914599,0.0031509674,0.6604215,0.00051395275,0.00016699154,0.00074661284,0.0075625977,0.0008006585,0.2646716,0.02223919,0.00849681,0.0020831593],"about_ca_topic_score_codex":0.00013270006,"about_ca_topic_score_gemma":0.00011479116,"teacher_disagreement_score":0.29271007,"about_ca_system_score_codex":0.000028296308,"about_ca_system_score_gemma":0.000046186015,"threshold_uncertainty_score":0.26413503},"labels":[],"label_agreement":null},{"id":"W2288878443","doi":"10.1075/ml.10.2.05tal","title":"Lexical access in mild cognitive impairment","year":2015,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Alzheimer Society","keywords":"Lexical decision task; Psychology; Word lists by frequency; Sentence; Context (archaeology); Cognition; Word (group theory); Audiology; KISS (TNC); Cognitive psychology; Linguistics; Computer science; Natural language processing; Medicine","score_opus":0.12769243181599313,"score_gpt":0.3782831783476454,"score_spread":0.25059074653165225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2288878443","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99151284,0.000062684034,0.0000020366995,0.002206916,0.0003398688,0.00034772034,0.00001656456,0.00004242279,0.005468953],"genre_scores_gemma":[0.9930322,0.000008957201,0.000004786033,0.006366086,0.00009098041,0.000019192279,0.00000508783,0.000008568916,0.0004641467],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989513,0.00022625005,0.00014765635,0.00026499876,0.00016186261,0.00024792674],"domain_scores_gemma":[0.9995868,0.00015134561,0.000044096036,0.00013552049,0.000009149758,0.000073053394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026019188,0.00010965483,0.00011135327,0.000045493518,0.00007080272,0.000042223965,0.0003546301,0.0000416996,0.00007199307],"category_scores_gemma":[0.000112742586,0.000068475005,0.0000383866,0.00014386939,0.00023257537,0.00013528562,0.00022303328,0.00018529709,0.00016556702],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0040521356,0.0030554943,0.021879816,0.000046132194,0.0000353051,0.0045190817,0.047962137,0.00003319107,0.89074904,0.003949783,0.012570353,0.011147553],"study_design_scores_gemma":[0.0022985227,0.00044042725,0.0023505355,0.000044108972,0.000009494274,0.00035292914,0.0014877522,0.00008448745,0.9893273,0.0026047928,0.00079027395,0.0002093699],"about_ca_topic_score_codex":0.00008763143,"about_ca_topic_score_gemma":0.000042664655,"teacher_disagreement_score":0.09857829,"about_ca_system_score_codex":0.000047671132,"about_ca_system_score_gemma":0.00004044059,"threshold_uncertainty_score":0.27923295},"labels":[],"label_agreement":null},{"id":"W2313134140","doi":"10.1075/ml.10.3.04man","title":"Grammatical gender in Romanian-French bilinguals","year":2015,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Institut Universitaire de Gériatrie de Montréal","funders":"","keywords":"Grammatical gender; Romanian; Mental lexicon; Linguistics; Noun; Psychology; Representation (politics); Lexicon; Noun phrase; Point (geometry); Phrase; Computer science; Mathematics","score_opus":0.12049475524292734,"score_gpt":0.33120987408696845,"score_spread":0.2107151188440411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2313134140","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98823565,0.000085078485,0.000006101591,0.0010229615,0.0003593509,0.00023879786,0.0000057467255,0.000060161514,0.0099861715],"genre_scores_gemma":[0.99688405,0.000005606542,0.00008017807,0.0021568316,0.00010383315,0.000009133579,0.0000030933325,0.000011055078,0.0007462271],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99880385,0.00023847845,0.00020679712,0.00027388358,0.00019437134,0.00028259252],"domain_scores_gemma":[0.9994364,0.00015551422,0.00004594862,0.00027587212,0.000008677946,0.00007759522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004249909,0.00011972527,0.00013225072,0.000052761094,0.00006710344,0.000030322813,0.0003375772,0.000054823675,0.00009526182],"category_scores_gemma":[0.00028428147,0.000073633695,0.000041291918,0.00013194299,0.00020805933,0.00007515429,0.00012695287,0.00019544912,0.0003779178],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009306543,0.0003656521,0.0013197649,0.000016226524,0.0000065862555,0.0012680471,0.02500227,0.000021400296,0.9601185,0.0065279724,0.0020842825,0.0031762568],"study_design_scores_gemma":[0.0022773778,0.00042012252,0.00092983304,0.000024606208,0.000017687069,0.0016974312,0.0018875934,0.0005861615,0.9224139,0.06175652,0.007514011,0.00047476243],"about_ca_topic_score_codex":0.000068413465,"about_ca_topic_score_gemma":0.000029657049,"teacher_disagreement_score":0.05522855,"about_ca_system_score_codex":0.000040881816,"about_ca_system_score_gemma":0.000045248664,"threshold_uncertainty_score":0.4857495},"labels":[],"label_agreement":null},{"id":"W2330469417","doi":"10.1075/ml.10.3.02aze","title":"Electrifying the lexical decision","year":2015,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Reading and Literacy Development","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Jewish Rehabilitation Hospital","funders":"","keywords":"Lexical decision task; Pseudoword; Psychology; Lexical item; Judgement; Context (archaeology); Lexico; Word (group theory); Lexical density; Lexical choice; Linguistics; Natural language processing; Cognitive psychology; Computer science; Lexicon; Cognition","score_opus":0.05866879142929163,"score_gpt":0.3568519980132932,"score_spread":0.29818320658400155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2330469417","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90730274,0.00074529945,0.00048440986,0.004189225,0.0018432238,0.00026589347,0.0000021245132,0.00006807864,0.08509899],"genre_scores_gemma":[0.98947257,0.000005142356,0.00017017208,0.0013267997,0.00019698449,0.000030412713,0.0000063343923,0.000012747945,0.008778815],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99900836,0.00015037677,0.00017732232,0.00016977362,0.00024064991,0.00025349983],"domain_scores_gemma":[0.99935913,0.00017634897,0.000046223882,0.00032916627,0.000017317236,0.00007180136],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00079506,0.00010230283,0.00009097158,0.000027011429,0.00018804302,0.00005780441,0.00032051516,0.00004556325,0.00030777292],"category_scores_gemma":[0.000032831187,0.000048551152,0.00004733855,0.00012481162,0.00007224598,0.00004445291,0.00006231152,0.00020560382,0.0016079478],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009845768,0.00028169577,0.0053343303,0.0000034213554,0.00015492646,0.000031074425,0.06733041,0.000011622716,0.0024449795,0.07014285,0.32822862,0.5250515],"study_design_scores_gemma":[0.0018934736,0.0003200813,0.01961506,0.000049589726,0.0000295243,0.00028338225,0.005169339,0.000173933,0.0057790945,0.019603344,0.94677013,0.00031302174],"about_ca_topic_score_codex":0.000077103796,"about_ca_topic_score_gemma":0.0000049724085,"teacher_disagreement_score":0.61854154,"about_ca_system_score_codex":0.00008357858,"about_ca_system_score_gemma":0.00003062415,"threshold_uncertainty_score":0.9991694},"labels":[],"label_agreement":null},{"id":"W2335208458","doi":"10.1075/ml.10.3.06ted","title":"Segmented binaural presentation as a means to examine lexical substructure","year":2015,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Multisensory perception and integration","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Binaural recording; Computer science; Lexical decision task; Dichotic listening; Speech recognition; Segmentation; Natural language processing; Presentation (obstetrics); Software; Artificial intelligence; Word recognition; Linguistics; Psychology; Reading (process); Cognition","score_opus":0.09156786767813363,"score_gpt":0.3883038419251793,"score_spread":0.2967359742470457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2335208458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9484704,0.000022617623,0.00027024202,0.0041006044,0.0011375477,0.00055812986,0.00001874963,0.00008909982,0.045332566],"genre_scores_gemma":[0.9676434,0.000001371022,0.00016231091,0.0023186158,0.0002521105,0.000053871503,0.00013422804,0.000017342734,0.029416777],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998862,0.00022125362,0.00020306878,0.00023606258,0.00026870938,0.00020888016],"domain_scores_gemma":[0.99940056,0.000022781984,0.000051599392,0.00027025936,0.000050130282,0.00020469796],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00018081107,0.00014221486,0.00011490513,0.00006324502,0.00009080991,0.000042996726,0.00016128432,0.00007860383,0.007861695],"category_scores_gemma":[0.000040650568,0.000095459895,0.000050521496,0.00014402728,0.000070163675,0.000100145146,0.000035301964,0.00014962815,0.004903036],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035452072,0.0006593483,0.0069206557,0.000012706709,0.00019760914,0.000028893932,0.12137486,0.0001541557,0.50749874,0.037293147,0.27562672,0.04668795],"study_design_scores_gemma":[0.013921208,0.0044661355,0.50312483,0.00008974852,0.000177196,0.00063382764,0.13296239,0.005055055,0.074512534,0.0037915572,0.25973707,0.001528436],"about_ca_topic_score_codex":0.0005189993,"about_ca_topic_score_gemma":0.00016045365,"teacher_disagreement_score":0.49620417,"about_ca_system_score_codex":0.00014438485,"about_ca_system_score_gemma":0.000020141117,"threshold_uncertainty_score":0.9958718},"labels":[],"label_agreement":null},{"id":"W2412460268","doi":"10.1075/ml.11.1.05bar","title":"Deverbal compound comprehension in preschool children","year":2016,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Language Development and Disorders","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Verb; Noun; Linguistics; Comprehension; Psychology; Typically developing; Ball (mathematics); Computer science; Mathematics; Philosophy; Developmental psychology","score_opus":0.013786741890705485,"score_gpt":0.27504731915696345,"score_spread":0.26126057726625795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2412460268","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97621447,0.000279029,0.000024239162,0.0011933492,0.00038426326,0.00032224882,0.000008970097,0.000045433662,0.021527996],"genre_scores_gemma":[0.9959522,0.000007651728,0.000049166065,0.00057898206,0.000050012964,0.000020054898,0.000019845571,0.000011846093,0.0033102534],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992199,0.00009592548,0.00015099887,0.00018306401,0.00011953201,0.00023055892],"domain_scores_gemma":[0.9996558,0.00005482344,0.000038285303,0.00021008925,0.0000057187767,0.000035285706],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000124326,0.0001067949,0.000098535274,0.000041562438,0.00006454928,0.000013659749,0.00020250665,0.000046862166,0.002235137],"category_scores_gemma":[0.0000052803375,0.00005556601,0.000031691758,0.00007569295,0.00007753416,0.00006987112,0.00007847665,0.00007294115,0.001268092],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008956326,0.0006228999,0.80014837,0.000006549028,0.00018183075,0.00004741922,0.013699218,0.0000013676807,0.027132822,0.012161993,0.052973088,0.09212879],"study_design_scores_gemma":[0.0033626119,0.000055384084,0.987683,0.00003582991,0.0000073208544,0.000034722332,0.0007198096,0.000002628363,0.0015944296,0.0013203827,0.0049870457,0.00019683699],"about_ca_topic_score_codex":0.00026582874,"about_ca_topic_score_gemma":0.00011221169,"teacher_disagreement_score":0.18753462,"about_ca_system_score_codex":0.000053487984,"about_ca_system_score_gemma":0.000013419666,"threshold_uncertainty_score":0.9995095},"labels":[],"label_agreement":null},{"id":"W2466426311","doi":"10.1075/ml.11.1.06tre","title":"What the Networks Tell us about Serial and Parallel Processing","year":2016,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; Saint Mary's University","funders":"","keywords":"Computer science; Sentence; Speech recognition; Word (group theory); Frequency domain; Word lists by frequency; Magnetoencephalography; Task (project management); Amplitude; Natural language processing; Artificial intelligence; Mathematics; Psychology; Physics; Electroencephalography; Neuroscience","score_opus":0.023366377249033503,"score_gpt":0.27360758998856705,"score_spread":0.25024121273953354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2466426311","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934594,0.00083477114,0.000026329582,0.004214743,0.0008146807,0.00023662548,0.000003083609,0.000042851472,0.0003675124],"genre_scores_gemma":[0.9926865,0.00048366384,0.000008933702,0.0051168352,0.00035863786,0.000009259116,6.781868e-7,0.000010422424,0.0013250541],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991641,0.00015505534,0.00011556489,0.00024301301,0.000089797424,0.00023245547],"domain_scores_gemma":[0.9995153,0.00019165024,0.00006688241,0.00018880078,0.000005508367,0.00003188309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001945024,0.00011024406,0.000086485576,0.000010325922,0.00042447666,0.00019226353,0.00026455373,0.000044108914,0.00004679913],"category_scores_gemma":[0.00003633305,0.000041760315,0.000029794457,0.000050376093,0.00059671915,0.0002512056,0.00012929703,0.00010623733,0.000026495212],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019637651,0.000035577075,0.00032462884,0.0000061610394,0.0000043654118,0.00006260659,0.0027326243,0.0000094329425,0.94023275,0.00031096165,0.0003974381,0.055687066],"study_design_scores_gemma":[0.0033687132,0.00054474035,0.003256729,0.00038337975,0.00006297928,0.0023502116,0.0015380778,0.00096463034,0.94422185,0.0031611063,0.03943718,0.00071042596],"about_ca_topic_score_codex":0.0000089687765,"about_ca_topic_score_gemma":0.0000146290995,"teacher_disagreement_score":0.054976642,"about_ca_system_score_codex":0.0000102452805,"about_ca_system_score_gemma":0.000015234679,"threshold_uncertainty_score":0.3264774},"labels":[],"label_agreement":null},{"id":"W2563546967","doi":"10.1075/ml.11.3.03tuc","title":"Why we need to investigate casual speech to truly understand language production, processing and the mental lexicon","year":2016,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Language, Discourse, Communication Strategies","field":"Arts and Humanities","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Casual; Lexicon; Style (visual arts); Computer science; Indirect speech; Speech production; Linguistics; Perspective (graphical); Context (archaeology); Mental lexicon; Motor theory of speech perception; Psychology; Speech recognition; Natural language processing; Speech perception; Artificial intelligence; History","score_opus":0.050335775863438396,"score_gpt":0.29003974235121005,"score_spread":0.23970396648777165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2563546967","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78205216,0.0009701188,0.000022095914,0.19643159,0.00036104053,0.0010105197,0.000052767748,0.00011430653,0.018985381],"genre_scores_gemma":[0.98445123,0.000045073557,0.00008826981,0.003780568,0.00040045838,0.00005454074,0.000010383942,0.000030526284,0.011138954],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9987422,0.00018546208,0.0002461516,0.00026932338,0.000285924,0.00027088972],"domain_scores_gemma":[0.99920934,0.00007233139,0.00010360975,0.00046680964,0.00004840224,0.00009949519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046947907,0.00021036262,0.00018687116,0.00007453605,0.0008232874,0.00047479538,0.0003854029,0.000027524091,0.00035257507],"category_scores_gemma":[0.00004292876,0.00009873503,0.00004397552,0.0000800168,0.001018668,0.00040955297,0.00021218072,0.0001190844,0.00008959052],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043705807,0.000077806835,0.000040364997,0.000041297517,0.00008237929,0.000003768924,0.7610603,0.0000022888228,0.029965643,0.16328901,0.029763894,0.01523617],"study_design_scores_gemma":[0.002472812,0.00023455622,0.00008539944,0.00040931706,0.00008772944,0.00007096744,0.81852883,0.000020685939,0.048128523,0.018693319,0.110730365,0.00053748407],"about_ca_topic_score_codex":0.00070234673,"about_ca_topic_score_gemma":0.003961928,"teacher_disagreement_score":0.20239905,"about_ca_system_score_codex":0.000115436786,"about_ca_system_score_gemma":0.000061430845,"threshold_uncertainty_score":0.6332144},"labels":[],"label_agreement":null},{"id":"W2567682148","doi":"10.1075/ml.11.3.02wes","title":"Pay no attention to that man behind the curtain","year":2016,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Meaning (existential); Computer science; Phenomenon; Principle of compositionality; Semantics (computer science); Embodied cognition; Reification (Marxism); Word (group theory); Linguistics; Verb; Set (abstract data type); Negation; Epistemology; Artificial intelligence; Cognitive science; Psychology; Philosophy","score_opus":0.04309901490194477,"score_gpt":0.3186996280423608,"score_spread":0.275600613140416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2567682148","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8401725,0.00002753257,0.0056160893,0.10017403,0.0031666209,0.0008154476,0.000024427847,0.00011496048,0.049888376],"genre_scores_gemma":[0.91205555,0.000005347951,0.00001853392,0.0034829,0.00022368152,0.000045594512,0.00001610503,0.000012851203,0.08413943],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992447,0.0001621627,0.00012708054,0.00015578997,0.0001584778,0.00015180261],"domain_scores_gemma":[0.9995026,0.000059249014,0.00007165114,0.00030271633,0.00002683957,0.000036950314],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00029202658,0.00008430349,0.000058819012,0.000025747539,0.00021807932,0.00003158578,0.00018302981,0.000042676376,0.005432726],"category_scores_gemma":[0.000016522614,0.00003293017,0.000043438045,0.00006359931,0.00005414856,0.000095295916,0.000039681752,0.00006487421,0.006939504],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004931033,0.00038254095,0.15398127,0.000010144122,0.0002031027,0.000004358316,0.014874023,0.0000053008757,0.07360772,0.082883686,0.43948215,0.2340726],"study_design_scores_gemma":[0.0009361304,0.0001402809,0.36629513,0.000026646123,0.00001903399,0.0000120845425,0.0016335286,0.000047397018,0.0025654829,0.00089697685,0.6272657,0.00016159378],"about_ca_topic_score_codex":0.000054705986,"about_ca_topic_score_gemma":0.00004180015,"teacher_disagreement_score":0.23391101,"about_ca_system_score_codex":0.00008402202,"about_ca_system_score_gemma":0.0000075558382,"threshold_uncertainty_score":0.9954764},"labels":[],"label_agreement":null},{"id":"W2791249847","doi":"10.1075/ml.17001.sia","title":"Effects of emotion information on processing pain-related words in visual word recognition","year":2017,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Northern British Columbia","funders":"","keywords":"Concreteness; Valence (chemistry); Categorization; Psychology; Cognitive psychology; Lexical decision task; Arousal; Emotional valence; Semantic memory; Cognition; Computer science; Social psychology; Artificial intelligence; Neuroscience","score_opus":0.02433164311073554,"score_gpt":0.3167893307006105,"score_spread":0.29245768758987495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791249847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894681,0.000014820029,0.0016357538,0.00077854906,0.0005806136,0.00044716662,0.0000020031846,0.00003776633,0.0070352503],"genre_scores_gemma":[0.99912393,0.0000058212563,0.000027453712,0.00032449552,0.00003874671,0.000030512156,0.00009652711,0.000007848229,0.00034463612],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99919057,0.00020384908,0.0002539085,0.000094503026,0.00014810204,0.0001090947],"domain_scores_gemma":[0.9993295,0.00006528676,0.0004023697,0.00014713859,0.000037069563,0.000018648427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005489171,0.00008520472,0.00009498307,0.00010429858,0.00022693448,0.000055517063,0.00010592063,0.00009100005,0.00021613028],"category_scores_gemma":[0.00013563149,0.00006873576,0.000028558426,0.00010723121,0.000059680286,0.0005704561,0.000017464641,0.00012926714,0.00019193337],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023382928,0.00020560742,0.006113684,0.00006493675,0.000015846153,7.5761665e-7,0.00886191,0.000024276469,0.0014278996,0.0005919428,0.00024334237,0.98221594],"study_design_scores_gemma":[0.0045303674,0.00054694375,0.95761967,0.00062273093,0.00002990294,0.000005371463,0.0037102876,0.015340377,0.014029773,0.001799197,0.0014864956,0.0002789153],"about_ca_topic_score_codex":0.000059493377,"about_ca_topic_score_gemma":0.000011593222,"teacher_disagreement_score":0.98193705,"about_ca_system_score_codex":0.000095822776,"about_ca_system_score_gemma":0.000014925448,"threshold_uncertainty_score":0.2802963},"labels":[],"label_agreement":null},{"id":"W2909271213","doi":"10.1075/ml.00001.lib","title":"What does constituent priming mean in the investigation of compound processing?","year":2018,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Reading and Literacy Development","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Hebrew; Compound; Priming (agriculture); German; Linguistics; Contrast (vision); Conceptualization; Psychology; Prime (order theory); Natural language processing; Computer science; Cognitive psychology; Artificial intelligence; Mathematics; Biology; Combinatorics; Philosophy","score_opus":0.03576266686986406,"score_gpt":0.3246154041735164,"score_spread":0.28885273730365235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909271213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98856455,0.0002107569,0.0000145154745,0.0019580724,0.000927336,0.0002777832,0.0000014812072,0.000014065866,0.008031442],"genre_scores_gemma":[0.99826676,0.000006012212,0.00012112719,0.0009561223,0.00009141586,0.000025026899,0.000009822995,0.0000058542223,0.0005178669],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9991602,0.00017021011,0.00023105071,0.0001393997,0.0001596107,0.00013954376],"domain_scores_gemma":[0.9995783,0.00007096718,0.00011657094,0.00019220749,0.000023515404,0.000018422998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064394186,0.000083802595,0.00009534195,0.000043984215,0.00012581548,0.000077303186,0.00021421755,0.000030283587,0.00009070731],"category_scores_gemma":[0.000005780687,0.000039612703,0.000020340734,0.000115227456,0.00045413437,0.00015027287,0.000029845341,0.00009368746,0.000044075],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016224649,0.00017613333,0.02958129,0.00005803523,0.000054420532,0.000007138223,0.8926318,0.0000011650101,0.018631928,0.01933778,0.0015352116,0.03782283],"study_design_scores_gemma":[0.0046300255,0.0008238437,0.301207,0.0028466398,0.00012292727,0.0002957151,0.35728666,0.000415082,0.23508503,0.030122789,0.06621117,0.00095312693],"about_ca_topic_score_codex":0.000106353895,"about_ca_topic_score_gemma":0.00008473503,"teacher_disagreement_score":0.53534514,"about_ca_system_score_codex":0.000042031523,"about_ca_system_score_gemma":0.000030433124,"threshold_uncertainty_score":0.1673277},"labels":[],"label_agreement":null},{"id":"W2910051669","doi":"10.1075/ml.18004.mon","title":"Proper name retrieval in cognitive decline","year":2018,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Montreal Cognitive Assessment; Cognition; Cognitive reserve; Neuropsychology; Psychology; Test (biology); Population; Cognitive decline; Effects of sleep deprivation on cognitive performance; Cognitive psychology; Cognitive impairment; Medicine; Dementia; Psychiatry; Internal medicine","score_opus":0.05016409547520899,"score_gpt":0.3349787638675429,"score_spread":0.2848146683923339,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910051669","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9908786,0.000039644434,0.000001672434,0.0015879883,0.00033886413,0.00028792798,0.00001387457,0.000037109727,0.006814317],"genre_scores_gemma":[0.99094635,0.000007583044,0.000008825006,0.007227984,0.00021364153,0.000003513745,0.000003002837,0.000008784346,0.001580332],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99912846,0.00016000608,0.00013320905,0.00025309264,0.000117408024,0.0002078065],"domain_scores_gemma":[0.99964553,0.0001398063,0.00004225658,0.00013171074,0.00001420641,0.00002647603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023944414,0.000090592875,0.00008985965,0.000032013715,0.00012096828,0.000019711253,0.0002182342,0.000039235612,0.00036016954],"category_scores_gemma":[0.00028083217,0.000052981937,0.00002854485,0.00013660244,0.0005299958,0.00006609528,0.00015165293,0.00015554782,0.00044084567],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042090076,0.00008960113,0.00093005045,0.0000020465638,0.0000018482896,0.00015850109,0.00271969,3.2959672e-8,0.9934657,0.00012878065,0.00010465535,0.0019781818],"study_design_scores_gemma":[0.0006361534,0.00034243925,0.0008688694,0.000022474067,0.000004356219,0.00017124423,0.0002640828,0.000032189677,0.99544984,0.000601528,0.0015146087,0.00009223463],"about_ca_topic_score_codex":0.000023760953,"about_ca_topic_score_gemma":0.000031834123,"teacher_disagreement_score":0.0056399954,"about_ca_system_score_codex":0.000018081904,"about_ca_system_score_gemma":0.000021404534,"threshold_uncertainty_score":0.5666326},"labels":[],"label_agreement":null},{"id":"W2945907020","doi":"10.1075/ml.18015.lut","title":"Semantic neighbourhoods","year":2018,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Semantic similarity; Natural language processing; Semantics (computer science); Artificial intelligence; Semantic memory; FAUST; Distributional semantics; Psychology; Cognition","score_opus":0.033627521389929985,"score_gpt":0.3033721715683036,"score_spread":0.2697446501783736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945907020","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9748754,0.000025989386,0.000007973772,0.0023329132,0.0007071198,0.00013199598,0.0000051553548,0.00007616794,0.0218373],"genre_scores_gemma":[0.98930717,0.0000065552967,0.0000156662,0.008042923,0.0003847697,0.0000030122737,0.0000010720046,0.000009088451,0.0022297434],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992896,0.00010646893,0.00009458062,0.00020890239,0.00009543849,0.00020506515],"domain_scores_gemma":[0.9996036,0.00007966752,0.00003831646,0.00024117167,0.000006331175,0.00003087018],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00011757744,0.00008446965,0.000071017246,0.000020930045,0.0002553219,0.000026267917,0.00028968576,0.000028389646,0.0005231486],"category_scores_gemma":[0.000061777435,0.000049367944,0.00003943094,0.00009139994,0.00042053772,0.000053125175,0.000098439654,0.00009577986,0.0009885341],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002112167,0.000027653832,0.00006996101,0.0000015556503,0.0000016927963,0.000048410457,0.0011164468,5.2310593e-8,0.99424565,0.0014178863,0.0008399435,0.0022096382],"study_design_scores_gemma":[0.00019151467,0.00018108536,0.00016878571,0.000005842627,0.000005374467,0.00038409053,0.000101105456,0.00004827924,0.9903024,0.0017426556,0.0067898515,0.000079002064],"about_ca_topic_score_codex":0.000018522045,"about_ca_topic_score_gemma":0.000010370209,"teacher_disagreement_score":0.019607555,"about_ca_system_score_codex":0.000010234401,"about_ca_system_score_gemma":0.000011267544,"threshold_uncertainty_score":0.9997893},"labels":[],"label_agreement":null},{"id":"W2984199050","doi":"10.1075/ml.00002.gal","title":"No lab, no problem","year":2019,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Digital Communication and Language","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Computer science; Focus (optics); Data science","score_opus":0.011124187211941196,"score_gpt":0.23758317942640939,"score_spread":0.2264589922144682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2984199050","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028778553,0.00007327357,0.00014533302,0.001332141,0.00017969476,0.00021633906,0.0000019522545,0.00011201162,0.9691607],"genre_scores_gemma":[0.9363447,0.000005620443,0.0020445164,0.0019907134,0.000017253196,0.000007941863,0.000006079175,0.0000053882873,0.05957783],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995087,0.000039614635,0.00008399268,0.000115825904,0.00013346014,0.00011844837],"domain_scores_gemma":[0.99917704,0.000027504813,0.000035528512,0.00071126915,0.000019706424,0.000028947841],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00015179047,0.00006094536,0.0000552039,0.000014573942,0.00005522161,0.00014273344,0.0010720543,0.000014890167,0.0002697112],"category_scores_gemma":[0.0000039893266,0.00003929524,0.000031697873,0.00008507,0.000024786961,0.00030312687,0.0004362175,0.000074456555,0.013026167],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022842029,0.0001965217,0.00040763876,0.000023875367,0.000024945704,0.0000024311921,0.0024066407,0.0000060462103,0.021599676,0.93381524,0.010859355,0.03063481],"study_design_scores_gemma":[0.00046093555,0.00017520912,0.00058007694,0.000029506748,0.000001717345,0.000011296273,0.000086049266,0.0034345398,0.0047868136,0.0027359359,0.9875137,0.000184215],"about_ca_topic_score_codex":0.000022668832,"about_ca_topic_score_gemma":0.0000034928921,"teacher_disagreement_score":0.97665435,"about_ca_system_score_codex":0.000022745618,"about_ca_system_score_gemma":0.000014823496,"threshold_uncertainty_score":0.9877423},"labels":[],"label_agreement":null},{"id":"W3022262585","doi":"10.1075/ml.20002.lut","title":"Quantifying subjective data using online Q-methodology software","year":2019,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Q Methodology Applications","field":"Decision Sciences","cited_by":117,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Concreteness; Psycholinguistics; sort; Computer science; Software; Cognitive psychology; Psychology; Perception; PsycINFO; Cognition; Natural language processing; Artificial intelligence; Information retrieval; MEDLINE","score_opus":0.7890521496664232,"score_gpt":0.5766983185232436,"score_spread":0.21235383114317963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022262585","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89190745,0.00018373581,0.10386831,0.0016706204,0.00093604776,0.0005106041,0.00023538049,0.000061436636,0.0006264202],"genre_scores_gemma":[0.6864845,0.00000654153,0.31149378,0.0008906957,0.00014149558,0.000007455168,0.000101110425,0.000021773982,0.00085261423],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99545693,0.002446157,0.0004883933,0.0007519526,0.0005568105,0.0002997264],"domain_scores_gemma":[0.9867103,0.010297913,0.00031189696,0.0025268334,0.00009695956,0.000056083794],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.010638174,0.00015126051,0.0003361652,0.00014023147,0.0003111449,0.00007461154,0.0025894023,0.000110550776,0.00082127284],"category_scores_gemma":[0.004234613,0.00009531331,0.00006910929,0.00060399855,0.000297475,0.00034736376,0.0013292794,0.00031995765,0.0012296105],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053550093,0.00046219287,0.33946928,0.000016955979,0.00023363651,0.000009030134,0.0064833863,0.0010681215,0.41584334,0.029226962,0.0041536256,0.20249796],"study_design_scores_gemma":[0.0030447643,0.00041558413,0.4280738,0.00008756176,0.00024200584,0.0006760903,0.033766318,0.06508807,0.048098464,0.3750883,0.044019565,0.001399464],"about_ca_topic_score_codex":0.00018678082,"about_ca_topic_score_gemma":0.00021934416,"teacher_disagreement_score":0.3677449,"about_ca_system_score_codex":0.0000713224,"about_ca_system_score_gemma":0.000103337974,"threshold_uncertainty_score":0.999548},"labels":[],"label_agreement":null},{"id":"W3023942231","doi":"10.1075/ml.20004.nis","title":"Clozapp","year":2019,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cégep André Laurendeau","funders":"","keywords":"Computer science; Data collection; Replication (statistics); Predictability; Information retrieval; Java; Natural language processing; Artificial intelligence; Programming language; Statistics","score_opus":0.007162570725038875,"score_gpt":0.2528083073504823,"score_spread":0.24564573662544345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023942231","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47528067,0.0003772388,0.39556143,0.007146201,0.00072123786,0.00083679846,0.000002229008,0.0013159114,0.118758276],"genre_scores_gemma":[0.9832044,0.000008940446,0.012475095,0.00069817004,0.000023476678,0.000008019303,0.0000012949466,0.0000051063244,0.00357546],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994119,0.000029136372,0.00008965096,0.00017282182,0.00016093143,0.00013555854],"domain_scores_gemma":[0.99930984,0.000025649017,0.00004402829,0.00058806717,0.0000098189685,0.000022596156],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014838415,0.00006940637,0.00007886787,0.000029683897,0.000058431913,0.0000483099,0.0008118957,0.000017969876,0.000106498235],"category_scores_gemma":[0.000002652794,0.000044642722,0.000052263385,0.00016584911,0.000027996102,0.00027082593,0.00026750486,0.00007395395,0.000858887],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000953078,0.0000745527,0.0018181351,0.000006361509,0.000039646107,0.000003842363,0.0012069928,0.000036202397,0.10639806,0.7447629,0.0029615236,0.14268228],"study_design_scores_gemma":[0.0007417136,0.00032532847,0.0041265567,0.000039688883,0.00001810833,0.000045772053,0.00018894703,0.038915515,0.5969066,0.17215167,0.18590859,0.0006315331],"about_ca_topic_score_codex":0.000010441877,"about_ca_topic_score_gemma":0.0000022720947,"teacher_disagreement_score":0.5726112,"about_ca_system_score_codex":0.000039088867,"about_ca_system_score_gemma":0.000009230043,"threshold_uncertainty_score":0.99991906},"labels":[],"label_agreement":null},{"id":"W3094746467","doi":"10.1075/ml.00012.tar","title":"On <i>twittizens</i> and <i>city residents</i>","year":2020,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Access Alliance Multicultural Health and Community Services","funders":"","keywords":"Semantic property; Natural language processing; Compounding; Semantic interpretation; Computer science; Perception; Interpretation (philosophy); Viewpoints; Transparency (behavior); Linguistics; Artificial intelligence; Information retrieval; Psychology; Materials science; Philosophy","score_opus":0.03947997256696449,"score_gpt":0.3094050375363376,"score_spread":0.2699250649693731,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094746467","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62878907,0.00009885647,0.000083861014,0.13152532,0.00086946716,0.00037988767,0.000015858473,0.00011503957,0.23812264],"genre_scores_gemma":[0.980113,0.000031831878,0.00003680663,0.018001333,0.00028246554,0.000002968938,0.0000023727046,0.000003804335,0.0015253791],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994003,0.00012949453,0.00007666055,0.00011694844,0.00015840013,0.00011819613],"domain_scores_gemma":[0.9997013,0.000102874794,0.000035057194,0.00006380852,0.000012230125,0.000084717234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027517613,0.000047205816,0.00006253716,0.000006979476,0.00034127303,0.00003573117,0.00011493405,0.000031643038,0.00033147566],"category_scores_gemma":[0.00029927754,0.000034054938,0.000018512967,0.000059350456,0.0001656662,0.00002303763,0.000042604468,0.00007895369,0.00010747195],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012415634,0.00003587946,0.0022371416,0.000004132757,0.000015520172,0.000008936636,0.04636494,0.0000013080233,0.0023838389,0.9000907,0.04752646,0.0012069788],"study_design_scores_gemma":[0.0025742124,0.00048723703,0.014036266,0.000029303163,0.000056507753,0.000006572904,0.010006465,0.000110139124,0.00552725,0.091365375,0.8753629,0.00043782257],"about_ca_topic_score_codex":0.00069764367,"about_ca_topic_score_gemma":0.00011666046,"teacher_disagreement_score":0.8278364,"about_ca_system_score_codex":0.000022828746,"about_ca_system_score_gemma":0.000030619256,"threshold_uncertainty_score":0.3629426},"labels":[],"label_agreement":null},{"id":"W3095015863","doi":"10.1075/ml.19011.par","title":"Is inhibition involved in the processing of opaque compound words?","year":2020,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Reading and Literacy Development","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Opacity; Perspective (graphical); Comprehension; Compound; Stroop effect; Psychology; Natural language processing; Test (biology); Cognitive psychology; Computer science; Artificial intelligence; Cognition; Biology; Botany; Physics","score_opus":0.05437723189437979,"score_gpt":0.3231083459366889,"score_spread":0.2687311140423091,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095015863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97356033,0.0002143935,0.00003657594,0.010581359,0.00010293849,0.00025056995,0.000005774556,0.000016166485,0.015231871],"genre_scores_gemma":[0.9946512,0.0000034314521,0.00006263022,0.004981331,0.000059132606,0.00002590155,0.000017688011,0.0000076164597,0.00019108123],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99924076,0.00013886107,0.00021766218,0.00013698482,0.00013965444,0.00012608916],"domain_scores_gemma":[0.9997144,0.000046833935,0.00008626223,0.00012231311,0.000009568525,0.000020629781],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028342512,0.00008013507,0.000104247236,0.000025422425,0.00006500702,0.00002995244,0.00015449937,0.000030174222,0.00017733968],"category_scores_gemma":[0.000005813686,0.000046661666,0.000029680827,0.000186292,0.00006967947,0.000058696078,0.000030866933,0.00014432482,0.0000685814],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048301977,0.00039690774,0.021553485,0.00012128683,0.000057019155,0.000032708696,0.8989204,0.0000062480594,0.028747529,0.007202422,0.01670745,0.025771506],"study_design_scores_gemma":[0.011668268,0.0014874157,0.36300728,0.0018042787,0.00013178166,0.00018565805,0.2711934,0.0023516337,0.18820758,0.015784023,0.14265312,0.0015255815],"about_ca_topic_score_codex":0.0000860332,"about_ca_topic_score_gemma":0.000008906545,"teacher_disagreement_score":0.62772703,"about_ca_system_score_codex":0.00002827658,"about_ca_system_score_gemma":0.000017128912,"threshold_uncertainty_score":0.19417453},"labels":[],"label_agreement":null},{"id":"W3095555854","doi":"10.1075/ml.00017.spa","title":"Property inference from heads to opaque-transparent compounds","year":2020,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Inference; Subcategory; Opacity; Noun; Computer science; Head (geology); Property (philosophy); Artificial intelligence; Categorical variable; Contrast (vision); Mathematics; Natural language processing; Cognitive psychology; Psychology; Machine learning; Pure mathematics; Epistemology; Biology; Philosophy; Physics; Optics","score_opus":0.08587896379589575,"score_gpt":0.3303615791764095,"score_spread":0.24448261538051375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095555854","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89548016,0.00023406901,0.00026540033,0.048688672,0.00062481593,0.0005315411,0.000053606433,0.00017230822,0.05394941],"genre_scores_gemma":[0.9886567,0.000005606425,0.00019486486,0.009645303,0.0002193752,0.000028651617,0.000048463255,0.000017255501,0.0011837753],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99896467,0.00009611815,0.00018869128,0.00032794796,0.00017720177,0.00024539148],"domain_scores_gemma":[0.99956256,0.000045343626,0.000036593185,0.00019171998,0.000011277173,0.00015253185],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0000951558,0.00014912384,0.0001693382,0.00001446922,0.0001396489,0.000044483342,0.0003182942,0.000036393314,0.002028802],"category_scores_gemma":[0.000012001047,0.000083385006,0.00004960177,0.0001061665,0.000051010647,0.00003220579,0.00009842458,0.00021356488,0.0027065147],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0036525654,0.0012171833,0.17920053,0.000055914894,0.0006773647,0.000103825034,0.2811097,0.00014882287,0.22521734,0.024948826,0.15688689,0.12678106],"study_design_scores_gemma":[0.0013389905,0.0008604229,0.53632677,0.00009996291,0.000030823936,0.0000064393425,0.0016845893,0.00013166491,0.0075431387,0.0003672459,0.45112216,0.00048778133],"about_ca_topic_score_codex":0.00043901446,"about_ca_topic_score_gemma":0.000036164623,"teacher_disagreement_score":0.35712627,"about_ca_system_score_codex":0.000045980792,"about_ca_system_score_gemma":0.000026646156,"threshold_uncertainty_score":0.9988835},"labels":[],"label_agreement":null},{"id":"W3096943834","doi":"10.1075/ml.00010.int","title":"Introduction to the special issue","year":2020,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Qualitative Research Methods and Ethics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science","score_opus":0.1732598917320122,"score_gpt":0.49611493319864775,"score_spread":0.3228550414666356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096943834","genre_codex":"commentary","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0073122745,0.000033104294,0.00038904214,0.94068146,0.0007417362,0.00032474342,0.000005582908,0.00002199359,0.050490048],"genre_scores_gemma":[0.43351105,0.0004933944,0.004371772,0.057926685,0.45319185,0.000104932005,0.000015881746,0.000046280747,0.05033816],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976382,0.0015355335,0.00008123556,0.00012550612,0.000430324,0.0001891494],"domain_scores_gemma":[0.9994947,0.0002451095,0.000021953136,0.000100427525,0.000034035882,0.00010379007],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0036616214,0.000045596327,0.00005904089,0.0000092010605,0.0007910329,0.00008313291,0.0002950134,0.00002615444,0.0023939267],"category_scores_gemma":[0.0010043267,0.000024721081,0.000033928598,0.00025929222,0.00042328186,0.00007039712,0.000076474644,0.00021524512,0.0013442027],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057488887,0.000011509587,0.000012177459,0.0000032483113,0.000009593134,4.2521214e-7,0.26897705,0.000005647474,0.001485774,0.15460424,0.5198982,0.05493465],"study_design_scores_gemma":[0.000044760138,0.000065542095,0.00006227787,0.0000016250123,0.0000022793,1.2087587e-7,0.039692342,0.000013474857,0.0011948056,0.005309114,0.95357686,0.00003679108],"about_ca_topic_score_codex":0.00046646947,"about_ca_topic_score_gemma":0.00038533565,"teacher_disagreement_score":0.8827548,"about_ca_system_score_codex":0.000062745705,"about_ca_system_score_gemma":0.000060263617,"threshold_uncertainty_score":0.99943334},"labels":[],"label_agreement":null},{"id":"W3097265532","doi":"10.1075/ml.20027.gal","title":"Can the maze task be even more amazing?","year":2020,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Reading and Literacy Development","field":"Psychology","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Sentence; Task (project management); Computer science; Context (archaeology); Reading (process); Priming (agriculture); Natural language processing; Speech recognition; Artificial intelligence; Cognitive psychology; Psychology; Linguistics","score_opus":0.031513338811444025,"score_gpt":0.3055469441369209,"score_spread":0.2740336053254769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097265532","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7498511,0.00022144942,0.000016167973,0.21929961,0.00062929874,0.0003344317,0.00003819835,0.00008331654,0.029526385],"genre_scores_gemma":[0.9733644,0.000003951585,0.000036902034,0.019153941,0.00020453379,0.000043300923,0.00002953035,0.000019140884,0.00714426],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990944,0.00012774976,0.00016704523,0.0002107446,0.00016255846,0.00023747428],"domain_scores_gemma":[0.9995121,0.0000613569,0.00006067808,0.00028541638,0.000008831482,0.00007161645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019307793,0.00012535394,0.00011073104,0.000013304832,0.00016951442,0.000044770044,0.0003799001,0.00003678928,0.0004743091],"category_scores_gemma":[0.000010813502,0.00006856453,0.000059049697,0.00010980428,0.0001042614,0.000028266759,0.000090445596,0.00019823755,0.0003705683],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031295812,0.00017060895,0.005287356,0.000021211683,0.0003979124,0.00006921915,0.61704165,0.000015773403,0.010578649,0.03386935,0.30652264,0.025712708],"study_design_scores_gemma":[0.0010430354,0.00014565277,0.032047763,0.000028356579,0.000035553872,0.000076577795,0.017311338,0.00012849578,0.0029662496,0.0009727946,0.9449481,0.00029609216],"about_ca_topic_score_codex":0.00039072742,"about_ca_topic_score_gemma":0.000013710811,"teacher_disagreement_score":0.63842547,"about_ca_system_score_codex":0.000039377344,"about_ca_system_score_gemma":0.000030870626,"threshold_uncertainty_score":0.5193352},"labels":[],"label_agreement":null},{"id":"W3122907133","doi":"10.1075/ml.19016.tsi","title":"Does stress matter?","year":2020,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Centre for Interdisciplinary Research in Rehabilitation; Université de Montréal; Jewish Rehabilitation Hospital; Institut Universitaire de Gériatrie de Montréal","funders":"","keywords":"Stress (linguistics); Task (project management); Facilitation; Lexical decision task; Psychology; Cognitive psychology; Test (biology); Linguistics; Natural language processing; Computer science; Cognition; Neuroscience","score_opus":0.030143338477128894,"score_gpt":0.2717604016884325,"score_spread":0.24161706321130363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122907133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9703508,0.000015910155,0.0000019233667,0.025382688,0.00034595397,0.00013170597,0.000040920742,0.000062491876,0.0036675914],"genre_scores_gemma":[0.9654418,0.0000060783605,0.0000074704494,0.03352436,0.00017575565,0.0000034797645,0.0000027779279,0.00000771128,0.00083053374],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993978,0.00008779858,0.00008397639,0.00020763482,0.0000813489,0.00014144502],"domain_scores_gemma":[0.9997252,0.00006364106,0.000033148415,0.00013331475,0.0000023009425,0.00004239998],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000034157263,0.00007660684,0.00006905667,0.0000074534223,0.0001122822,0.000025956591,0.00028346296,0.000020305242,0.0006492477],"category_scores_gemma":[0.000028806238,0.000032829957,0.000036078916,0.00005427942,0.00013220236,0.000048701317,0.00010690116,0.000105844694,0.0007859973],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028378745,0.000019682717,0.0005632991,0.0000064214687,0.0000016179994,0.00009638365,0.002347165,0.0000010147827,0.9948238,0.00014813535,0.0013294866,0.0006346246],"study_design_scores_gemma":[0.00015257904,0.000054224907,0.00013263735,0.0000045282136,0.0000037762052,0.000036581045,0.0003037779,0.0000271443,0.9937203,0.00019812981,0.0052975663,0.00006876419],"about_ca_topic_score_codex":0.000009206895,"about_ca_topic_score_gemma":0.000002575674,"teacher_disagreement_score":0.008141673,"about_ca_system_score_codex":0.0000052162404,"about_ca_system_score_gemma":0.000005387379,"threshold_uncertainty_score":0.999992},"labels":[],"label_agreement":null},{"id":"W3162376902","doi":"10.1075/ml.20010.nen","title":"Relative entropy effects on the processing of spoken Romanian verbs","year":2021,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Reading and Literacy Development","field":"Psychology","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada; Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja","keywords":"Plural; Noun; Romanian; Linguistics; Lexical decision task; Entropy (arrow of time); Psychology; Computer science; Artificial intelligence; Natural language processing; Cognition","score_opus":0.01625759908808227,"score_gpt":0.28937035692078616,"score_spread":0.2731127578327039,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162376902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93307143,0.0003628392,0.000019690777,0.0030290305,0.0004876292,0.00022792525,0.0000039005863,0.00002201761,0.06277553],"genre_scores_gemma":[0.9901854,0.0000042328256,0.000083424035,0.00075164833,0.00007647875,0.000028165965,0.0000103344955,0.000012791719,0.008847571],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990712,0.00026050914,0.00015912547,0.00017533798,0.000165044,0.00016881221],"domain_scores_gemma":[0.9993303,0.0002691231,0.00009516698,0.00026029098,0.000020023605,0.000025129266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024921162,0.00010525776,0.00012335424,0.000021577833,0.00014971814,0.000025600997,0.00015589427,0.000036891586,0.0004065095],"category_scores_gemma":[0.000028162684,0.00005658413,0.000053362153,0.00012344998,0.00006453384,0.000042665306,0.00004539074,0.00016619581,0.00025039812],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009984272,0.00092272356,0.010636478,0.0001798609,0.00083695847,0.0002353043,0.2722357,0.0000066369785,0.1118641,0.42198184,0.016684743,0.16341725],"study_design_scores_gemma":[0.003019456,0.0008331398,0.1882329,0.0012907438,0.00014432496,0.00014434384,0.011016849,0.00012178233,0.6838562,0.013390754,0.097387105,0.0005623938],"about_ca_topic_score_codex":0.000021271468,"about_ca_topic_score_gemma":0.0000017975724,"teacher_disagreement_score":0.5719921,"about_ca_system_score_codex":0.00005859598,"about_ca_system_score_gemma":0.000029273468,"threshold_uncertainty_score":0.44509938},"labels":[],"label_agreement":null},{"id":"W3207531128","doi":"10.1075/ml.19025.loh","title":"Testing the storage of prosody-induced phonetic detail via auditory lexical decision","year":2021,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Prosody; Lexical decision task; Computer science; Noun; Verb; Task (project management); Pronunciation; Representation (politics); Natural language processing; Linguistics; Speech recognition; Artificial intelligence; Psychology; Cognition","score_opus":0.0722946699674072,"score_gpt":0.3509631010134499,"score_spread":0.2786684310460427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207531128","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897403,0.0006863339,0.00012871451,0.0010338366,0.0016128895,0.00031385137,0.000010683148,0.000024520283,0.006448869],"genre_scores_gemma":[0.99820393,0.0000075419857,0.00013985837,0.00023356511,0.00027135707,0.000043322107,0.0000071493782,0.000022370174,0.0010709199],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9982459,0.0004527863,0.0002994926,0.00030160762,0.00032989556,0.00037034895],"domain_scores_gemma":[0.99819064,0.0008562963,0.000109396584,0.00069149444,0.00008414393,0.000068037145],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006870617,0.00014419689,0.00020108603,0.00003845404,0.0002702453,0.000026266225,0.00047691332,0.00012423948,0.0011266425],"category_scores_gemma":[0.00015080105,0.00008683395,0.00008739959,0.0003141134,0.00032446464,0.000027609414,0.0002841192,0.00049788255,0.00042421426],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021665225,0.00030861178,0.0013179079,0.000010314634,0.00008729193,0.000048348054,0.0047308044,0.000007794603,0.93896115,0.00039313562,0.0030707861,0.050847217],"study_design_scores_gemma":[0.0024492547,0.0010127412,0.649192,0.000107906206,0.00008308187,0.00047440085,0.0024118598,0.0010052796,0.32474092,0.014259854,0.0038666744,0.00039603902],"about_ca_topic_score_codex":0.00016589093,"about_ca_topic_score_gemma":0.000051925155,"teacher_disagreement_score":0.6478741,"about_ca_system_score_codex":0.00004946883,"about_ca_system_score_gemma":0.000101963065,"threshold_uncertainty_score":0.99978644},"labels":[],"label_agreement":null},{"id":"W4220796199","doi":"10.1075/ml.21008.loo","title":"Morphological processing is gradient not discrete in L1 and L2 English masked priming","year":2022,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Reading and Literacy Development","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Eesti Teadusagentuur","keywords":"Lexical decision task; Priming (agriculture); Facilitation; Semantic memory; Response priming; Psychology; Cognitive psychology; Quantile regression; Semantic relation; Contrast (vision); Computer science; Linguistics; Cognition; Artificial intelligence; Biology; Neuroscience","score_opus":0.0284914374269452,"score_gpt":0.29989266911899914,"score_spread":0.27140123169205393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220796199","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98991,0.00027020616,0.000008216026,0.0013924472,0.000505681,0.00027291506,0.0000139661615,0.000043010128,0.0075835697],"genre_scores_gemma":[0.99514985,0.00000509583,0.00013984312,0.001377775,0.000053272048,0.0001414554,0.000019881269,0.0000136179915,0.003099191],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9988138,0.0001760787,0.00022662705,0.0003133466,0.00018660816,0.00028351665],"domain_scores_gemma":[0.99966383,0.000047995276,0.00007368059,0.00016214217,0.0000072774615,0.000045100787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005009598,0.00012536495,0.00014405922,0.00006454012,0.0002950093,0.000047023557,0.00017868102,0.000030244379,0.00076987327],"category_scores_gemma":[0.000010164669,0.000089556124,0.00003091704,0.00013151138,0.00008103606,0.000056128178,0.00021722956,0.0002913431,0.00001634199],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012540368,0.00062071526,0.058987617,0.00006045131,0.00009761108,0.00035391308,0.8083892,0.000028188972,0.01138055,0.0055307806,0.0056787687,0.10761816],"study_design_scores_gemma":[0.00836814,0.0014364093,0.58605355,0.00025434533,0.00009324372,0.0009754886,0.12287182,0.0016894492,0.010411871,0.0037229438,0.2623923,0.0017303954],"about_ca_topic_score_codex":0.00008163944,"about_ca_topic_score_gemma":0.000002122775,"teacher_disagreement_score":0.6855174,"about_ca_system_score_codex":0.00012899116,"about_ca_system_score_gemma":0.000013713778,"threshold_uncertainty_score":0.84295726},"labels":[],"label_agreement":null},{"id":"W4221070140","doi":"10.1075/ml.20031.wes","title":"Is it you you’re looking for?","year":2022,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Concreteness; Relevance (law); Psychology; Object (grammar); Cognitive psychology; Personal pronoun; Code (set theory); Emoji; Linguistics; Computer science; Artificial intelligence; World Wide Web","score_opus":0.04492278462597965,"score_gpt":0.32696595990315264,"score_spread":0.282043175277173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221070140","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8162044,0.00050237385,0.00003873998,0.034983028,0.0020676274,0.00062902184,0.00010393248,0.00010006888,0.14537078],"genre_scores_gemma":[0.9483788,0.0000026999912,0.000058154117,0.0077607045,0.00015246031,0.00010493015,0.00004363042,0.00002205097,0.043476574],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99909496,0.00007339597,0.00014927183,0.00025315746,0.00017555073,0.0002536711],"domain_scores_gemma":[0.99963975,0.000043024047,0.000067120855,0.00021089795,0.000006855406,0.00003237397],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00035223796,0.00010808719,0.000106595144,0.000032235126,0.00060286454,0.000023742126,0.000257842,0.000022741178,0.011855661],"category_scores_gemma":[0.0000047470435,0.000085191925,0.000091553426,0.00007995945,0.000036642406,0.000022172604,0.00018085899,0.00021659944,0.00034463673],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010569198,0.0006032819,0.018169323,0.000028283725,0.00045902855,0.000031657302,0.16495478,0.00004006876,0.0077339574,0.053803667,0.676721,0.07639808],"study_design_scores_gemma":[0.0008205592,0.00025535488,0.010572459,0.000009572323,0.00001763919,0.000028445103,0.013383778,0.000038019778,0.00073600863,0.00061064085,0.9733619,0.00016562043],"about_ca_topic_score_codex":0.000041610107,"about_ca_topic_score_gemma":0.0000038286753,"teacher_disagreement_score":0.29664096,"about_ca_system_score_codex":0.00009973388,"about_ca_system_score_gemma":0.000019081213,"threshold_uncertainty_score":0.98904765},"labels":[],"label_agreement":null},{"id":"W4221126990","doi":"10.1075/ml.20032.aze","title":"A N400 event-related potential elicitation paradigm for Canadian French speakers*","year":2022,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; Jewish Rehabilitation Hospital; McGill University; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre Intégré de Santé et de Services Sociaux des Laurentides; Institut Universitaire de Gériatrie de Montréal","funders":"","keywords":"N400; Psychology; Stimulus (psychology); Comprehension; Event-related potential; Sentence; Semantic memory; Cognitive psychology; Sentence processing; Set (abstract data type); Cognition; Linguistics; Natural language processing; Computer science; Neuroscience","score_opus":0.019217700213801456,"score_gpt":0.26963784904317484,"score_spread":0.25042014882937336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221126990","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99050665,0.000068892026,0.000013565771,0.005905981,0.0010720635,0.0006781603,0.0002140547,0.000044566732,0.0014960584],"genre_scores_gemma":[0.99370044,0.000003353579,0.0000123947775,0.004181162,0.00007505695,0.000073952535,0.00007903094,0.000014105244,0.0018604845],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99891907,0.00020180379,0.0001640773,0.00027361626,0.00014028579,0.00030112916],"domain_scores_gemma":[0.99959415,0.00008455944,0.00007010452,0.00017496818,0.0000056059134,0.00007058506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023251929,0.00010232324,0.00008858676,0.000071830254,0.0009021568,0.00002684013,0.00029836432,0.000030294585,0.0004961312],"category_scores_gemma":[0.00004283919,0.00008117455,0.000082202125,0.00014748787,0.00009659493,0.000056074317,0.000060664475,0.00017714611,0.000045236276],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009102918,0.00009858375,0.000058922036,0.000005890389,0.00001773343,0.00018821417,0.0073213093,0.00031656167,0.97742724,0.00400827,0.008212024,0.0022542388],"study_design_scores_gemma":[0.007332359,0.002960714,0.0019067622,0.000027953742,0.0001973073,0.0049203523,0.006073284,0.0122167505,0.7067791,0.050621305,0.20548567,0.0014784436],"about_ca_topic_score_codex":0.007956342,"about_ca_topic_score_gemma":0.0043102377,"teacher_disagreement_score":0.27064812,"about_ca_system_score_codex":0.000116496645,"about_ca_system_score_gemma":0.00009850683,"threshold_uncertainty_score":0.9986498},"labels":[],"label_agreement":null},{"id":"W4226059469","doi":"10.1075/ml.20028.aze","title":"Processing lexicality in healthy aging and Alzheimer’s disease","year":2021,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Douglas Mental Health University Institute; McGill University; Centre for Interdisciplinary Research in Rehabilitation","funders":"","keywords":"Psychology; Orthography; Lexical decision task; Cognitive psychology; Oddball paradigm; Event-related potential; Phonology; Lexical access; Audiology; Cognition; Linguistics; Neuroscience; Reading (process); Medicine","score_opus":0.06429032368521083,"score_gpt":0.3464743433588836,"score_spread":0.2821840196736728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226059469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98670715,0.0020888436,0.0000022229106,0.010436335,0.00011518786,0.00012348288,0.000008375183,0.000031625892,0.0004867576],"genre_scores_gemma":[0.9894567,0.000064291475,0.000020164458,0.010312242,0.00005248438,0.000005526165,0.0000036522001,0.000006588157,0.00007835871],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990618,0.00021970466,0.00013060946,0.00030078922,0.000089655674,0.00019743519],"domain_scores_gemma":[0.9996535,0.00008812308,0.000037124348,0.00014539398,0.0000054202906,0.00007041138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016513784,0.000081899554,0.00009193859,0.000019691846,0.00017612489,0.000040124927,0.00010020675,0.000020515556,0.000029062809],"category_scores_gemma":[0.000077333665,0.000057270838,0.000022564425,0.00011608692,0.00018331059,0.00008381259,0.000114664006,0.000149805,0.000008256069],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004700976,0.00047006126,0.013192851,0.00010123502,0.000006723823,0.0031642478,0.0071737315,0.000006119434,0.91202027,0.0022147454,0.00013120408,0.061048698],"study_design_scores_gemma":[0.0018662574,0.00015806769,0.016865233,0.00015056881,0.000046632063,0.0008520506,0.0013943034,0.0007656489,0.9659313,0.0076874136,0.0038254245,0.00045712703],"about_ca_topic_score_codex":0.000022498429,"about_ca_topic_score_gemma":0.000025776075,"teacher_disagreement_score":0.06059157,"about_ca_system_score_codex":0.000013635609,"about_ca_system_score_gemma":0.000062270105,"threshold_uncertainty_score":0.23354371},"labels":[],"label_agreement":null},{"id":"W4307386081","doi":"10.1075/ml.21010.cru","title":"Is meaning construction attempted during the processing of pseudo-compounds?","year":2022,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Morpheme; Compound; Meaning (existential); Natural language processing; Prime (order theory); Linguistics; Computer science; Set (abstract data type); Artificial intelligence; Psychology; Mathematics; Philosophy; Combinatorics","score_opus":0.01783943653169041,"score_gpt":0.2721671654981201,"score_spread":0.2543277289664297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307386081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97443753,0.00017733843,0.00000466397,0.0018971632,0.00044752695,0.00019329532,0.000008993127,0.0000461745,0.022787321],"genre_scores_gemma":[0.99766964,0.000002167684,0.00007624329,0.0003760043,0.00008105286,0.000027920858,0.000006820049,0.000015113633,0.0017450162],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990272,0.0001537745,0.00021137546,0.00019218988,0.00023785749,0.00017761262],"domain_scores_gemma":[0.999581,0.000033960154,0.00017414063,0.00017998084,0.000012781244,0.000018131721],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00032590987,0.0000990812,0.00011390987,0.000038310394,0.00092767156,0.000024252018,0.00023414848,0.000017725408,0.0017762131],"category_scores_gemma":[0.00000391521,0.000064591506,0.000058171143,0.00017047634,0.00013267851,0.00003703094,0.00016663362,0.00028528337,0.000035014415],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018703702,0.0006656042,0.20039551,0.00018794941,0.0007253591,0.000030869578,0.31062678,0.00013852044,0.37070966,0.046052277,0.008037973,0.060559127],"study_design_scores_gemma":[0.0046454305,0.0005770989,0.7504488,0.00021455759,0.00014080179,0.0017235731,0.119697876,0.00053336454,0.05076704,0.002804341,0.06758519,0.00086190423],"about_ca_topic_score_codex":0.000054652493,"about_ca_topic_score_gemma":0.0000021741075,"teacher_disagreement_score":0.5500533,"about_ca_system_score_codex":0.000092461865,"about_ca_system_score_gemma":0.00002462684,"threshold_uncertainty_score":0.99913627},"labels":[],"label_agreement":null},{"id":"W4311892076","doi":"10.1075/ml.22002.joh","title":"On the lexical source of variable L2 phoneme production","year":2022,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Variable (mathematics); Variation (astronomy); Computer science; Speech production; Linguistics; Contradiction; Perception; Dual (grammatical number); Focus (optics); Selection (genetic algorithm); Psychology; Cognitive psychology; Natural language processing; Artificial intelligence; Speech recognition; Mathematics; Philosophy","score_opus":0.04063140632042071,"score_gpt":0.3174221281993374,"score_spread":0.2767907218789167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311892076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.964841,0.00013089829,0.000021916163,0.008510664,0.001169908,0.00037342735,0.000019479514,0.000019991125,0.024912734],"genre_scores_gemma":[0.98132426,0.000003597158,0.00000816262,0.0006610353,0.000098389166,0.00012969578,0.000010843403,0.000013084669,0.017750937],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99868935,0.00048623825,0.00014182851,0.00019698794,0.00025715114,0.00022845819],"domain_scores_gemma":[0.9992476,0.00018020223,0.00006360378,0.00047149425,0.000013088417,0.000024007373],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00092556933,0.00007825264,0.000098263015,0.00003831501,0.00043324308,0.000007826482,0.00039922108,0.00003157688,0.009701931],"category_scores_gemma":[0.000028755636,0.000046895453,0.000044728986,0.00021135941,0.00023319312,0.000011646235,0.0002177664,0.0004533473,0.0002230618],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029257375,0.0021727849,0.0010115093,0.000016857493,0.00040224334,0.000007419866,0.039862588,0.0007534563,0.35726735,0.32507333,0.26354966,0.0069570704],"study_design_scores_gemma":[0.0052509103,0.008088459,0.048126906,0.00005277216,0.00015693295,0.0006259672,0.03274943,0.0016187454,0.22778518,0.2547086,0.4197926,0.0010435075],"about_ca_topic_score_codex":0.00041973428,"about_ca_topic_score_gemma":0.0000050597578,"teacher_disagreement_score":0.15624294,"about_ca_system_score_codex":0.000048443446,"about_ca_system_score_gemma":0.000027693815,"threshold_uncertainty_score":0.9912033},"labels":[],"label_agreement":null},{"id":"W4387311041","doi":"10.1075/ml.21014.cos","title":"Long-lag repetition priming in natural text reading","year":2023,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Reading and Literacy Development","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Priming (agriculture); Reading (process); Context (archaeology); Identity (music); Repetition priming; Generalizability theory; Linguistics; Repetition (rhetorical device); Psychology; Computer science; Cognitive psychology; Eye movement; Communication; Artificial intelligence; Lexical decision task; Biology; Neuroscience; Cognition","score_opus":0.024763895863752005,"score_gpt":0.3224265271886228,"score_spread":0.2976626313248708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387311041","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97025305,0.00012246911,0.0000060603284,0.0012745499,0.0014883203,0.0002041404,0.000002431007,0.00012942248,0.026519531],"genre_scores_gemma":[0.97602725,0.00001208166,0.000045386845,0.0002680147,0.00010330403,0.00004265255,0.00006662567,0.000016225642,0.023418454],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9990243,0.00010299587,0.00021490786,0.00022729124,0.00014001207,0.0002904934],"domain_scores_gemma":[0.99959785,0.00009126762,0.000056440327,0.00021923395,0.0000074814684,0.000027744753],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000508615,0.000103206745,0.00010425924,0.00013434108,0.00011361929,0.000037075883,0.00014848882,0.000044404,0.00024168042],"category_scores_gemma":[0.000018068788,0.00007623595,0.000037663653,0.000299455,0.00003765332,0.00007982999,0.000059490827,0.00019729827,0.0015247208],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010155812,0.00060842244,0.1444434,0.00012112555,0.00031399674,0.00085441355,0.31359082,0.00006951425,0.082865074,0.05961146,0.089898236,0.30660796],"study_design_scores_gemma":[0.0018530185,0.00014553472,0.9385458,0.00039757908,0.000020012181,0.00020169717,0.008809073,0.0005655077,0.010860831,0.0023707536,0.0356784,0.00055174244],"about_ca_topic_score_codex":0.00012997964,"about_ca_topic_score_gemma":0.000022202588,"teacher_disagreement_score":0.79410243,"about_ca_system_score_codex":0.00013212187,"about_ca_system_score_gemma":0.000010715712,"threshold_uncertainty_score":0.99925274},"labels":[],"label_agreement":null},{"id":"W4389730926","doi":"10.1075/ml.21005.tai","title":"Accessing the semantic and lexical information of constituents while typing compounds","year":2023,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Concordia University of Edmonton","funders":"","keywords":"Typing; Keystroke logging; Linguistics; Computer science; Natural language processing; Artificial intelligence; Psychology; Speech recognition","score_opus":0.052005095721301416,"score_gpt":0.306622168466057,"score_spread":0.2546170727447556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389730926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99540675,0.000024817986,0.000007487332,0.0016025522,0.00025005007,0.0001483783,0.000009905638,0.00004372013,0.002506353],"genre_scores_gemma":[0.99840605,0.000022286213,0.0000054579828,0.0014629833,0.000026976368,0.0000026809541,0.00000632055,0.0000028531592,0.00006437215],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994784,0.00008662902,0.00014204187,0.00008378457,0.000088856454,0.00012026361],"domain_scores_gemma":[0.99958795,0.00019837859,0.00007385581,0.00011747638,0.000006881588,0.000015438272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021173795,0.00005984912,0.00007398949,0.00003549336,0.00026824,0.00004867151,0.00017599322,0.000023072915,0.000013478277],"category_scores_gemma":[0.00006862871,0.000031946045,0.000022066413,0.00014705316,0.00041623233,0.00019258926,0.0001444253,0.00009498801,0.000045463716],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046276127,0.000021076165,0.001042018,0.00003650592,0.00000662313,0.000012990605,0.006118899,0.000009607678,0.98258704,0.002428191,0.00066438963,0.0070264093],"study_design_scores_gemma":[0.00092336634,0.00012341395,0.005152151,0.00012070152,0.000030995016,0.00054318307,0.0033389335,0.0034961286,0.97842896,0.0022794283,0.005354896,0.00020785347],"about_ca_topic_score_codex":0.000018455645,"about_ca_topic_score_gemma":0.0000031002644,"teacher_disagreement_score":0.0068185558,"about_ca_system_score_codex":0.000006353959,"about_ca_system_score_gemma":0.000012888228,"threshold_uncertainty_score":0.20631123},"labels":[],"label_agreement":null},{"id":"W4391432989","doi":"10.1075/ml.00023.maz","title":"The distributional properties of prefixes influence lexical decision latencies","year":2023,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Reading and Literacy Development","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Prefix; Lexical decision task; Computer science; Natural language processing; Artificial intelligence; Linguistics; Psychology; Cognition","score_opus":0.03346227838148659,"score_gpt":0.30672278517351725,"score_spread":0.2732605067920307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391432989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959891,0.0003562649,0.000010891904,0.001550315,0.00045796693,0.00016583744,0.000022666156,0.000053316642,0.0013936491],"genre_scores_gemma":[0.99521184,0.00003538283,0.000017905964,0.000070383896,0.00003547204,0.000051741987,0.000015985503,0.0000063412845,0.0045549427],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990826,0.000082394894,0.00023694219,0.0001340748,0.00025336648,0.00021057247],"domain_scores_gemma":[0.99944633,0.00020542326,0.00006250075,0.0002260513,0.000033006596,0.000026692103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047971704,0.00008556725,0.00008860792,0.000025086732,0.00032281078,0.000036462716,0.0002808506,0.000034955083,0.0000611903],"category_scores_gemma":[0.00006343516,0.0000391723,0.00004702915,0.00017325084,0.00029352112,0.000054292577,0.00011222904,0.00009821355,0.00041230625],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035239626,0.0006109037,0.09878482,0.000094295596,0.0006743608,0.000028823353,0.08645375,0.0002642083,0.22503339,0.31300938,0.08767695,0.18384516],"study_design_scores_gemma":[0.0007407904,0.00020079408,0.8275692,0.00026160054,0.000020330523,0.000044871555,0.0045222626,0.00019159199,0.054760348,0.01140372,0.10002499,0.00025951333],"about_ca_topic_score_codex":0.0000627658,"about_ca_topic_score_gemma":0.000004691094,"teacher_disagreement_score":0.7287844,"about_ca_system_score_codex":0.00003594062,"about_ca_system_score_gemma":0.000026596063,"threshold_uncertainty_score":0.52995},"labels":[],"label_agreement":null},{"id":"W4391449796","doi":"10.1075/ml.21015.nic","title":"Bilingual and monolingual adults’ lexical choice in storytelling","year":2023,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of British Columbia","funders":"","keywords":"Storytelling; Linguistics; Natural language processing; Computer science; Psychology; Artificial intelligence; Narrative","score_opus":0.030075644239276708,"score_gpt":0.3201593675195475,"score_spread":0.29008372328027077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391449796","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920939,0.00072355714,0.000008857509,0.00028435234,0.0007204372,0.0002490367,0.0000129747095,0.00012038303,0.0057864855],"genre_scores_gemma":[0.99771166,0.000038097063,0.00001643811,0.000345738,0.00034427477,0.000025834917,0.000036839487,0.000020522013,0.001460608],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9989309,0.000146198,0.00019582675,0.0002828607,0.00014309885,0.0003011409],"domain_scores_gemma":[0.9995245,0.00018122594,0.000044761608,0.00018640816,0.00001093764,0.00005217331],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004119287,0.00012616279,0.0001380265,0.000112301415,0.00010708133,0.00002466941,0.00013020753,0.00008578715,0.00028578285],"category_scores_gemma":[0.000038771967,0.000093442104,0.000044199965,0.00024215762,0.00010516268,0.000051691175,0.000057819736,0.00024003895,0.0004933126],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026721477,0.0011084768,0.04616529,0.00015091078,0.000323724,0.00058969355,0.36223775,0.00004682356,0.026851317,0.027418759,0.0028387401,0.5295964],"study_design_scores_gemma":[0.023917714,0.0022669097,0.5166498,0.0007366978,0.00031409145,0.00048479353,0.3392674,0.006950602,0.043324452,0.027528927,0.035699278,0.002859344],"about_ca_topic_score_codex":0.0007172805,"about_ca_topic_score_gemma":0.0004101743,"teacher_disagreement_score":0.52673703,"about_ca_system_score_codex":0.000031870273,"about_ca_system_score_gemma":0.000018091454,"threshold_uncertainty_score":0.63407},"labels":[],"label_agreement":null},{"id":"W4405181073","doi":"10.1075/ml.24015.man","title":"The influence of semantic primes on the typing of word targets","year":2024,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Reading and Literacy Development","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University; Concordia University of Edmonton","funders":"Concordia University of Edmonton","keywords":"Keystroke logging; Prime (order theory); Computer science; Priming (agriculture); Interval (graph theory); Word (group theory); Natural language processing; Facilitation; Typing; Artificial intelligence; Interstimulus interval; Speech recognition; Psychology; Linguistics; Mathematics; Biology; Neuroscience","score_opus":0.017237516745925052,"score_gpt":0.3043367251499646,"score_spread":0.2870992084040396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405181073","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9835472,0.0013791637,0.000004029051,0.0028951406,0.0005459123,0.00020935417,0.0000041053495,0.000021046302,0.011394067],"genre_scores_gemma":[0.99503833,0.000034556935,0.000012024554,0.00021587513,0.000032807595,0.000019800269,0.0000014955094,0.000009346416,0.0046357648],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99928725,0.00011994898,0.00020912838,0.00011674928,0.00012449452,0.0001424544],"domain_scores_gemma":[0.99912894,0.0004898279,0.00006633169,0.000290386,0.000011804722,0.0000127378025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055016554,0.000081066595,0.00008871172,0.000026755954,0.00011836779,0.000026921953,0.00027088888,0.000023085686,0.000109498826],"category_scores_gemma":[0.00002228771,0.000033631906,0.000049570423,0.00011779156,0.00015355238,0.000026378348,0.00005009622,0.00013415294,0.00015564235],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006820393,0.0003015823,0.0063071465,0.00023474108,0.00115819,0.000017160606,0.1823597,0.00019113967,0.090077706,0.56127465,0.027112938,0.130283],"study_design_scores_gemma":[0.0009379575,0.0006874785,0.428713,0.0031687173,0.00015418083,0.00008392667,0.014245846,0.00057407684,0.20633331,0.027543396,0.31692246,0.00063566415],"about_ca_topic_score_codex":0.00006291428,"about_ca_topic_score_gemma":0.0000024504884,"teacher_disagreement_score":0.5337313,"about_ca_system_score_codex":0.0000231602,"about_ca_system_score_gemma":0.000019036528,"threshold_uncertainty_score":0.20005195},"labels":[],"label_agreement":null},{"id":"W4405444751","doi":"10.1075/ml.24019.ste","title":"Tense and agreement processing in native Spanish speakers with aphasia","year":2024,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor; Brock University","funders":"","keywords":"Grammaticality; Inflection; Linguistics; Sentence; Agreement; Sentence processing; Aphasia; Psychology; Comprehension; Verb; Past tense; Morpheme; Contrast (vision); Artificial intelligence; Computer science; Cognitive psychology; Philosophy; Grammar","score_opus":0.022588576205493403,"score_gpt":0.2842687138949828,"score_spread":0.2616801376894894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405444751","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942024,0.00046047324,0.000004254216,0.0018050767,0.0001012783,0.00023946373,0.00000637935,0.00004235925,0.0031383398],"genre_scores_gemma":[0.9980877,0.00002496388,0.000026343827,0.0012258537,0.000038591395,0.000008097441,0.000001356757,0.000008671279,0.00057842385],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99931395,0.00006688066,0.00008782864,0.0002701257,0.00010449151,0.00015669671],"domain_scores_gemma":[0.9998211,0.000052757332,0.000022338363,0.000077003904,0.0000038165167,0.000022951906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013603615,0.00009489665,0.00007610036,0.00004485185,0.00008823743,0.00006975198,0.00009189293,0.000019425086,0.000026696127],"category_scores_gemma":[0.00001602079,0.000051874846,0.000013376378,0.00014524076,0.00024675005,0.00010257166,0.000050081388,0.00014268166,0.000015346372],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014619206,0.00007383242,0.000371728,0.000059790713,0.0000062215563,0.0031872801,0.021068549,0.0000032448274,0.9495498,0.0006176325,0.00013661192,0.024779094],"study_design_scores_gemma":[0.001331966,0.00082082534,0.0014520017,0.000520639,0.000037523154,0.0045264545,0.0068182205,0.0010799987,0.9760391,0.0018798953,0.0050588246,0.0004345243],"about_ca_topic_score_codex":0.000027456417,"about_ca_topic_score_gemma":0.000058192843,"teacher_disagreement_score":0.026489304,"about_ca_system_score_codex":0.00002721335,"about_ca_system_score_gemma":0.000025236992,"threshold_uncertainty_score":0.21153948},"labels":[],"label_agreement":null},{"id":"W4405445255","doi":"10.1075/ml.24017.bro","title":"Intralingual and interlingual effects in a pure language list","year":2024,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"Vlaamse regering; Fonds Wetenschappelijk Onderzoek","keywords":"Linguistics; Cognate; Meaning (existential); Contrast (vision); Neuroscience of multilingualism; Computer science; Psychology; Artificial intelligence; Philosophy","score_opus":0.010872928172556785,"score_gpt":0.3111216691824914,"score_spread":0.3002487410099346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405445255","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9792811,0.0070209545,0.000022215461,0.00040291907,0.0012375939,0.0002663273,0.000015597847,0.00009012869,0.011663118],"genre_scores_gemma":[0.99698883,0.000013442422,0.00001709181,0.0005139607,0.0003176194,0.000036667567,0.000031081403,0.000019092167,0.002062231],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.99920964,0.0001425668,0.00013248125,0.00022533067,0.00009035568,0.00019962408],"domain_scores_gemma":[0.9996843,0.00011853814,0.000018657889,0.00013880836,0.0000042928796,0.000035435038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026836406,0.000118346055,0.00011604485,0.00007928281,0.000041335043,0.00007798442,0.00009810074,0.00006548024,0.0004902861],"category_scores_gemma":[0.000019510924,0.000078999125,0.000043041564,0.00012510807,0.00008103679,0.000055147855,0.000047087207,0.00024758343,0.00018767979],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003948975,0.00027240062,0.0010775933,0.00027857174,0.00023358664,0.0017773032,0.41655928,3.3131437e-7,0.053465813,0.06351816,0.0025101632,0.4599119],"study_design_scores_gemma":[0.019602353,0.0052977274,0.0549345,0.0049892487,0.0012219966,0.0048050745,0.48056635,0.002314136,0.28745425,0.09409374,0.04057666,0.0041439803],"about_ca_topic_score_codex":0.00041289424,"about_ca_topic_score_gemma":0.00033522432,"teacher_disagreement_score":0.45576793,"about_ca_system_score_codex":0.000033862078,"about_ca_system_score_gemma":0.000010579209,"threshold_uncertainty_score":0.53682894},"labels":[],"label_agreement":null},{"id":"W4405445367","doi":"10.1075/ml.24014.gow","title":"The influence of uppercase letter location on typing multiword passphrases","year":2024,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University; Concordia University of Edmonton","funders":"Concordia University of Edmonton","keywords":"Word (group theory); Computer science; Natural language processing; Artificial intelligence; Linguistics; Speech recognition","score_opus":0.01619528408390935,"score_gpt":0.26711080239057017,"score_spread":0.2509155183066608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405445367","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9805744,0.00041661697,0.001959096,0.015822086,0.0005972933,0.00026433475,0.0000028446268,0.00009826592,0.00026506092],"genre_scores_gemma":[0.99857974,0.00001563718,0.000034375214,0.0009793666,0.000050630868,0.000017682198,0.0000015065481,0.000004743208,0.00031632825],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929136,0.000091180984,0.00017589671,0.00015196457,0.00017775175,0.000111865236],"domain_scores_gemma":[0.99930567,0.00019580452,0.000042986234,0.00040749297,0.000026386531,0.000021635451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033734128,0.000070025526,0.000057317,0.00003402893,0.00018737813,0.00018702935,0.00049616006,0.00001865047,0.0000043692094],"category_scores_gemma":[0.000021819946,0.00003777974,0.00003595313,0.00021943367,0.00007539769,0.0001857096,0.00008287107,0.00008671688,0.0001950769],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007425263,0.00028631027,0.0006871523,0.00030706992,0.00016794537,0.000016024249,0.19404334,0.0007935413,0.08104167,0.58766276,0.012772825,0.122147135],"study_design_scores_gemma":[0.0006484708,0.00032740345,0.014406813,0.0012065547,0.000035947363,0.00007180181,0.0014515544,0.704959,0.08664654,0.010028675,0.17967123,0.0005460022],"about_ca_topic_score_codex":0.000056598517,"about_ca_topic_score_gemma":0.000017071487,"teacher_disagreement_score":0.70416546,"about_ca_system_score_codex":0.00003699236,"about_ca_system_score_gemma":0.000025448506,"threshold_uncertainty_score":0.25073838},"labels":[],"label_agreement":null},{"id":"W4405445372","doi":"10.1075/ml.24022.muy","title":"The role of orthography and phonology during L1 vs. L2 typed production","year":2024,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Reading and Literacy Development","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor; Brock University","funders":"Social Sciences and Humanities Research Council","keywords":"Orthography; Phonology; Facilitation; Spelling; Linguistics; Psychology; Modality (human–computer interaction); Word (group theory); Computer science; Cognitive psychology; Artificial intelligence; Reading (process); Neuroscience","score_opus":0.0066911589428110384,"score_gpt":0.2634134662662431,"score_spread":0.2567223073234321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405445372","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98468757,0.004180996,0.0000013481207,0.0013332602,0.0012567088,0.00015721582,0.0000026794603,0.000043382828,0.00833682],"genre_scores_gemma":[0.99546117,0.000113954695,0.00002127114,0.00002487045,0.00008898041,0.000026647658,0.0000036945494,0.000009178825,0.0042502377],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99945104,0.00006825025,0.00013036423,0.00015949087,0.000060729813,0.00013014684],"domain_scores_gemma":[0.99973536,0.000042293435,0.000031675594,0.00016744778,0.000007971122,0.000015254989],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021650677,0.00006721935,0.00006882438,0.000048987127,0.00013382829,0.00002605105,0.00007966086,0.00002972972,0.0000642882],"category_scores_gemma":[0.000005061093,0.0000369912,0.00002989803,0.0001152506,0.00011911085,0.000031786334,0.000034874494,0.00010216717,0.000056170553],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016688526,0.00024926284,0.07861609,0.00016094568,0.0012031448,0.000022201657,0.123740844,0.00000491419,0.2888699,0.105454095,0.0057865162,0.39422324],"study_design_scores_gemma":[0.0007172142,0.00031554894,0.40391323,0.00018699368,0.000088593006,0.0004064132,0.009633109,0.00007727577,0.13909893,0.008527611,0.4367016,0.00033348333],"about_ca_topic_score_codex":0.000051088802,"about_ca_topic_score_gemma":0.000008545679,"teacher_disagreement_score":0.4309151,"about_ca_system_score_codex":0.000010391295,"about_ca_system_score_gemma":0.000008293104,"threshold_uncertainty_score":0.15084575},"labels":[],"label_agreement":null},{"id":"W4406240249","doi":"10.1075/ml.24026.ge","title":"Thermal and metaphorical meanings","year":2024,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Linguistics; Noun; Metaphor; Vocabulary; Context (archaeology); Literal (mathematical logic); Perception; Portuguese; Numeral system; Psychology; Natural language processing; Computer science; Artificial intelligence; History; Philosophy","score_opus":0.021821256062618984,"score_gpt":0.29613275299133357,"score_spread":0.2743114969287146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406240249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8722973,0.0060505997,0.00005278752,0.0012060605,0.0010462796,0.00015350098,0.000011246071,0.00011836153,0.11906387],"genre_scores_gemma":[0.99254906,0.000022559627,0.00002381037,0.00063275365,0.00024850358,0.00002604245,0.000011003669,0.000016453498,0.0064698346],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.999336,0.000097482036,0.00009936277,0.00019257746,0.000113295835,0.00016129694],"domain_scores_gemma":[0.9997428,0.00006565403,0.00001539859,0.00013280711,0.0000055686996,0.00003779155],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002455432,0.000094800205,0.00008836884,0.000034633897,0.00008455075,0.00006456836,0.000087535715,0.00004538376,0.0020355207],"category_scores_gemma":[0.0000043418836,0.000055377237,0.00005620856,0.0000917291,0.00008508022,0.00006314236,0.000039025632,0.00014858357,0.00076513336],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032467174,0.00021000675,0.0003284198,0.00005237863,0.000771671,0.00022137119,0.083066575,3.792539e-7,0.097231425,0.42740798,0.019615812,0.3707693],"study_design_scores_gemma":[0.0065842923,0.0025505803,0.051560562,0.0003879033,0.0025245019,0.0019499589,0.08206807,0.0019051841,0.12960477,0.13406706,0.58410174,0.0026953619],"about_ca_topic_score_codex":0.000094382325,"about_ca_topic_score_gemma":0.0000053317617,"teacher_disagreement_score":0.56448597,"about_ca_system_score_codex":0.00001790121,"about_ca_system_score_gemma":0.0000062167833,"threshold_uncertainty_score":0.99887675},"labels":[],"label_agreement":null},{"id":"W4406240270","doi":"10.1075/ml.24020.chu","title":"<i>Xiaosi</i> ‘die laughing’ as a discourse marker","year":2024,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Language, Discourse, Communication Strategies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Discourse marker; Psychology; Computer science; Linguistics; Philosophy","score_opus":0.03288093138442809,"score_gpt":0.3124691096328931,"score_spread":0.279588178248465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406240270","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16695437,0.00609041,0.0000058522432,0.014666839,0.0011584642,0.00028699354,0.00008370692,0.00031225703,0.81044114],"genre_scores_gemma":[0.9190278,0.00012958035,0.000017748429,0.0010095291,0.0005048517,0.000047298625,0.000050184757,0.00003203681,0.07918098],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990843,0.00010093963,0.00018074854,0.00018309026,0.00022773574,0.00022317904],"domain_scores_gemma":[0.9992998,0.00010224576,0.000040874704,0.00049646175,0.000018152537,0.000042416847],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00026942548,0.00016432852,0.000119341465,0.000046019173,0.000433088,0.00084188354,0.00043706578,0.000025478628,0.0055256267],"category_scores_gemma":[0.00000720932,0.00009787733,0.00010703468,0.000032490014,0.00053486106,0.0004099867,0.00015883645,0.00022554462,0.0019353585],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024313855,0.000061778286,0.000008754679,0.000028827351,0.00009154489,0.000019906201,0.08452245,0.0000010424616,0.000577128,0.8816058,0.026046408,0.0070120436],"study_design_scores_gemma":[0.00020419173,0.000060780094,0.000037769452,0.00015214895,0.00007032469,0.000022046666,0.080988005,0.00013423657,0.0009836791,0.035762895,0.88133705,0.00024689073],"about_ca_topic_score_codex":0.0005075092,"about_ca_topic_score_gemma":0.0007670707,"teacher_disagreement_score":0.8552906,"about_ca_system_score_codex":0.000050642215,"about_ca_system_score_gemma":0.000058375877,"threshold_uncertainty_score":0.99884176},"labels":[],"label_agreement":null},{"id":"W4406244703","doi":"10.1075/ml.24037.nas","title":"Symbols to shapes processing","year":2024,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Multisensory perception and integration","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor; Brock University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Arabic; Linguistics; Natural language processing; Computer science; Psychology; Speech recognition; Philosophy","score_opus":0.06284184879868794,"score_gpt":0.3974987145360905,"score_spread":0.33465686573740255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406244703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8293318,0.00040135198,0.0005922054,0.0065030353,0.0011369558,0.00035681066,0.0000126851,0.0002360485,0.16142908],"genre_scores_gemma":[0.9673959,0.0000027153908,0.0000625306,0.0016228778,0.00020734107,0.00003949603,0.000007691011,0.000012378198,0.030649096],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99950224,0.000043302407,0.00009953739,0.00015501976,0.00008534842,0.000114521456],"domain_scores_gemma":[0.99984753,0.000014717199,0.000009908618,0.000084587955,0.00000857608,0.000034678418],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000111389745,0.00006910571,0.0000516355,0.000042941527,0.00008303108,0.000093379225,0.00008431635,0.00003053801,0.00983095],"category_scores_gemma":[0.0000036659471,0.000042839798,0.000033637192,0.00009398273,0.00002770468,0.00006696519,0.000015358995,0.00009194853,0.008928021],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079179845,0.00007131729,0.000093977396,0.000026799358,0.000031257834,0.000008107242,0.048688628,0.0000056958697,0.2290485,0.030013822,0.07944951,0.6124832],"study_design_scores_gemma":[0.0006047881,0.00045491432,0.03915437,0.00042423874,0.000057980047,0.00015023405,0.024610678,0.010960069,0.014093928,0.0018969914,0.90702915,0.0005626329],"about_ca_topic_score_codex":0.000034427336,"about_ca_topic_score_gemma":0.00001567648,"teacher_disagreement_score":0.8275797,"about_ca_system_score_codex":0.000042919964,"about_ca_system_score_gemma":0.000008398882,"threshold_uncertainty_score":0.99184364},"labels":[],"label_agreement":null},{"id":"W4406248724","doi":"10.1075/ml.24013.mas","title":"What can emotion and abstract words tell us about context availability ratings?","year":2024,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor; Brock University","funders":"","keywords":"Normative; Computer science; Valence (chemistry); Reliability (semiconductor); Context (archaeology); Cognitive psychology; Psychology; Replication (statistics); Context effect; Natural language processing; Linguistics; Statistics; Word (group theory); Mathematics; Epistemology","score_opus":0.028746886230074344,"score_gpt":0.2925563362065643,"score_spread":0.26380944997649,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406248724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993795,0.0011839374,8.6298945e-7,0.0020283456,0.0014180972,0.00028834445,0.00002468908,0.00011038284,0.0011503465],"genre_scores_gemma":[0.99493194,0.0002284629,0.0000042302495,0.0029537838,0.00013770687,0.000006292967,0.0000058252185,0.000012342979,0.0017194212],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99899244,0.00011810331,0.00017788947,0.00039169923,0.00011826089,0.00020160883],"domain_scores_gemma":[0.99943966,0.0002580024,0.000043743992,0.0002044127,0.0000067414585,0.000047471036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031644676,0.00013485459,0.00011394063,0.00002988251,0.0001889356,0.00028631173,0.00015278568,0.00005306615,0.00025215783],"category_scores_gemma":[0.00008367008,0.00008575448,0.000049830636,0.00008637774,0.00035765787,0.00026854392,0.0000792049,0.0002387762,0.00010854858],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003466832,0.00004297662,0.0003434004,0.00004309842,0.0000054685447,0.00016169038,0.010054573,6.249632e-7,0.9570668,0.00030441798,0.00034338687,0.031598933],"study_design_scores_gemma":[0.00031808647,0.00019022566,0.0037063998,0.0001739449,0.000020717767,0.0006177722,0.002905072,0.00017942656,0.9831619,0.0008023934,0.0076974174,0.00022659072],"about_ca_topic_score_codex":0.000099617224,"about_ca_topic_score_gemma":0.00008014656,"teacher_disagreement_score":0.031372342,"about_ca_system_score_codex":0.00003619268,"about_ca_system_score_gemma":0.000026083286,"threshold_uncertainty_score":0.3496966},"labels":[],"label_agreement":null},{"id":"W4406248732","doi":"10.1075/ml.24024.vin","title":"How words can guide our eyes","year":2024,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Multisensory perception and integration","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor; Centre Intégré de Santé et de Services Sociaux des Laurentides; McGill University; Jewish Rehabilitation Hospital; Concordia University; Brock University","funders":"","keywords":"Feeling; Recall; Eye tracking; Gaze; Psychology; Audio visual; Eye movement; Cognitive psychology; Multimedia; Computer science; Social psychology; Artificial intelligence","score_opus":0.05796524003805249,"score_gpt":0.3820364429021243,"score_spread":0.3240712028640718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406248732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71297723,0.0005747937,0.00031944783,0.076781206,0.0064045386,0.0004111535,0.000070360446,0.00035049111,0.20211077],"genre_scores_gemma":[0.7589745,0.000012375832,0.000036302208,0.00083879934,0.00031186396,0.00002085547,0.00002579662,0.000012461487,0.23976706],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993922,0.00008834478,0.000101168065,0.00017018779,0.00010640051,0.00014167825],"domain_scores_gemma":[0.99972796,0.000013850566,0.000017786042,0.00019615717,0.000009066099,0.000035184177],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001279665,0.00009306144,0.000067203924,0.000044225773,0.00007982867,0.00013443359,0.00010852187,0.00004812325,0.0027144712],"category_scores_gemma":[0.000006225432,0.000057996796,0.00006319727,0.000072282026,0.00003192512,0.00006269168,0.00001732273,0.0001376259,0.0017521014],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058506746,0.00007604099,0.0003271862,0.000014665246,0.000103818515,0.000021282905,0.02638791,0.0000013138756,0.10857145,0.054595783,0.6474475,0.16239454],"study_design_scores_gemma":[0.00034210403,0.00012647199,0.0059564686,0.000047390877,0.000027363896,0.00006082687,0.035577554,0.0006845871,0.0055451156,0.00061160844,0.95082647,0.00019405138],"about_ca_topic_score_codex":0.0002597413,"about_ca_topic_score_gemma":0.00022278697,"teacher_disagreement_score":0.30337894,"about_ca_system_score_codex":0.00007871555,"about_ca_system_score_gemma":0.000011862658,"threshold_uncertainty_score":0.99902517},"labels":[],"label_agreement":null},{"id":"W4406248884","doi":"10.1075/ml.24027.deg","title":"NLP and education","year":2024,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Topic Modeling","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Natural language processing; Semantic similarity; Computer science; Artificial intelligence; Similarity (geometry); Reading comprehension; Test (biology); Comprehension; Scale (ratio); Cloze test; Portuguese; Brazilian Portuguese; Reading (process); Information retrieval; Linguistics","score_opus":0.016931853376873304,"score_gpt":0.27242788788490674,"score_spread":0.25549603450803343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406248884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7886664,0.0064800503,0.13741522,0.03085058,0.0036706538,0.00028567805,0.0000011831869,0.00034794814,0.032282237],"genre_scores_gemma":[0.99521357,0.0000144082605,0.0025566674,0.00039544265,0.00008079785,0.0000050317662,4.747866e-7,0.0000020605498,0.0017315283],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973774,0.000011840039,0.00003970742,0.00010310107,0.000056048957,0.000051570987],"domain_scores_gemma":[0.999827,0.000013348679,0.0000050706535,0.00013697987,0.000002645706,0.000014954076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008753372,0.00002927592,0.000020652733,0.000015610756,0.000043534466,0.00012311533,0.00014680848,0.000008258519,0.000007916839],"category_scores_gemma":[0.0000014487958,0.000019111183,0.000008752824,0.000046271773,0.000012720481,0.00014108232,0.000084932886,0.000038079335,0.000045964138],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.5759413e-7,0.000008725403,0.000041055726,0.000010399231,0.0000035545947,6.8373635e-7,0.0021304397,0.0000036399224,0.0026464167,0.4424855,0.0013826007,0.5512865],"study_design_scores_gemma":[0.0001626508,0.00007843527,0.0015608271,0.0001614373,0.000012115888,0.00016034607,0.00045559934,0.593726,0.016504303,0.25754786,0.12936324,0.0002672447],"about_ca_topic_score_codex":0.000019457371,"about_ca_topic_score_gemma":0.0000014256782,"teacher_disagreement_score":0.59372234,"about_ca_system_score_codex":0.000018437831,"about_ca_system_score_gemma":0.000030854466,"threshold_uncertainty_score":0.11872039},"labels":[],"label_agreement":null},{"id":"W4406273356","doi":"10.1075/ml.24021.tam","title":"Processing costs in Cantonese-Latin script-mixing","year":2024,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor; The Scarborough Hospital; Brock University; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Mixing (physics); Computer science; Natural language processing; Artificial intelligence; Linguistics; Physics; Philosophy","score_opus":0.017345400944147833,"score_gpt":0.29232999960306644,"score_spread":0.2749845986589186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406273356","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42170638,0.17016256,0.3155658,0.041772388,0.0044306433,0.0027403063,0.000018902885,0.009691917,0.033911113],"genre_scores_gemma":[0.96528107,0.000010505234,0.03363842,0.00043079755,0.00006166861,0.000022208103,0.0000022527574,0.0000136347435,0.00053944206],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989846,0.000052913067,0.00017311475,0.00029726807,0.00024000798,0.00025210544],"domain_scores_gemma":[0.9996341,0.00003954929,0.00003546248,0.00024222952,0.000015787224,0.000032874992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004230851,0.00012630172,0.000101121426,0.0001245503,0.000121891884,0.0005203379,0.00074966706,0.00004376202,0.000013509032],"category_scores_gemma":[0.000018951043,0.000083435116,0.000030141418,0.00058429234,0.00005517548,0.0006696477,0.00028188628,0.00027924599,0.000027883772],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009311783,0.000033970155,0.00022391674,0.0001242173,0.0000071776776,0.00013199268,0.007568417,0.0000029014884,0.059229054,0.07911194,0.00080904976,0.85274804],"study_design_scores_gemma":[0.00065836974,0.00019262233,0.00092700095,0.0043267864,0.000020829857,0.00040135413,0.00087545736,0.38992807,0.41715357,0.17384936,0.010475434,0.0011911236],"about_ca_topic_score_codex":0.00026008266,"about_ca_topic_score_gemma":0.00008975659,"teacher_disagreement_score":0.8515569,"about_ca_system_score_codex":0.00025931382,"about_ca_system_score_gemma":0.000091932234,"threshold_uncertainty_score":0.50176305},"labels":[],"label_agreement":null},{"id":"W4406376165","doi":"10.1075/ml.24016.sta","title":"The moral Foreign Language Effect beyond the L2","year":2024,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Cultural Differences and Values","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Phenomenon; Foreign language; Linguistics; Context (archaeology); Psychology; Second language; Multilingualism; Cognitive psychology; Epistemology; History; Philosophy","score_opus":0.03795103600337617,"score_gpt":0.3609384808792812,"score_spread":0.322987444875905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406376165","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8947895,0.0061983005,0.000001918381,0.0043883706,0.0013655722,0.0003806181,0.000021552407,0.00007905914,0.09277508],"genre_scores_gemma":[0.97520876,0.000024727131,0.000001455845,0.0004981215,0.0003536645,0.00006432144,0.000015364174,0.000012667341,0.023820903],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99916077,0.0002099642,0.00010441682,0.0001562523,0.00013803547,0.00023057051],"domain_scores_gemma":[0.99932945,0.0003205726,0.000022463857,0.00029940435,0.0000041585968,0.000023981487],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00037571735,0.0001228157,0.00008498931,0.0000091278625,0.00036622985,0.0001866622,0.00035380104,0.00003676175,0.00083670544],"category_scores_gemma":[0.000006466644,0.000038914968,0.000118383396,0.00008501372,0.0001773183,0.000039454357,0.00007813341,0.0002045698,0.0009549599],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002442274,0.000043463308,0.0018845114,0.00002744786,0.00036935843,0.000040175248,0.038124006,0.0000010944257,0.008194714,0.64266026,0.13289358,0.17551717],"study_design_scores_gemma":[0.0039014167,0.0043977196,0.22479948,0.00036729968,0.0009368806,0.0008307833,0.15024856,0.003590733,0.041786537,0.21465687,0.35275027,0.0017334532],"about_ca_topic_score_codex":0.00028720152,"about_ca_topic_score_gemma":0.00007334746,"teacher_disagreement_score":0.42800337,"about_ca_system_score_codex":0.00002484008,"about_ca_system_score_gemma":0.0000050293456,"threshold_uncertainty_score":0.9998229},"labels":[],"label_agreement":null},{"id":"W4406530729","doi":"10.1075/ml.24023.lan","title":"A psycholinguistic analysis of clinical list-learning tests","year":2024,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor; Brock University","funders":"","keywords":"Natural language processing; Computer science; Artificial intelligence; Psychology","score_opus":0.634623376166255,"score_gpt":0.6216009030149111,"score_spread":0.01302247315134386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406530729","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9517572,0.0014692921,0.0030427608,0.00066235935,0.002762023,0.00015145184,0.00001594903,0.00009730426,0.040041666],"genre_scores_gemma":[0.9950932,0.000044273333,0.0022823724,0.00012478212,0.00020681863,0.0000053612266,0.0000035783971,0.0000074891755,0.0022321255],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9965618,0.0009078322,0.0010616165,0.00043739536,0.0008417887,0.00018953279],"domain_scores_gemma":[0.95848244,0.040553402,0.00029086793,0.0005141069,0.000090248854,0.00006893599],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.015693069,0.00010374873,0.00047109474,0.000618878,0.00012071212,0.00018853343,0.00071020983,0.0000584694,0.0008685812],"category_scores_gemma":[0.07780542,0.000055000404,0.00044462955,0.0056472286,0.00018325007,0.000055562978,0.00015784465,0.00033143596,0.00011004237],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007845344,0.00010817499,0.3499678,0.000012439543,0.00085337396,0.000020777454,0.001314087,0.0005345921,0.0007129977,0.0057540783,0.0056315293,0.6350117],"study_design_scores_gemma":[0.00040939235,0.00043880424,0.648804,0.00010882173,0.0009287308,0.000018070905,0.0019988331,0.18232538,0.00017506602,0.045646645,0.11885552,0.000290737],"about_ca_topic_score_codex":0.00006938615,"about_ca_topic_score_gemma":0.000011899963,"teacher_disagreement_score":0.6347209,"about_ca_system_score_codex":0.00001630418,"about_ca_system_score_gemma":0.000035109853,"threshold_uncertainty_score":0.95103544},"labels":[],"label_agreement":null},{"id":"W4407105105","doi":"10.1075/ml.00027.buc","title":"Gary Libben’s Mental Lexicon","year":2024,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; University of Windsor","funders":"","keywords":"Mental lexicon; Lexicon; Computer science; Natural language processing; Linguistics; Artificial intelligence; Philosophy","score_opus":0.023001251920681195,"score_gpt":0.30840584107688274,"score_spread":0.28540458915620154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407105105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7153624,0.006754059,0.000052379946,0.002909713,0.0057297153,0.00053212856,0.0001255342,0.0003847371,0.26814932],"genre_scores_gemma":[0.96848327,0.000061383886,0.000025694733,0.0015546678,0.00066229946,0.00008877524,0.00017344144,0.00004703027,0.028903423],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986153,0.00017363646,0.0002315063,0.0003799742,0.00024406472,0.00035547625],"domain_scores_gemma":[0.9994572,0.000068570196,0.00004153092,0.0003477254,0.0000095269515,0.00007543874],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00030929563,0.0002111984,0.00015910312,0.000084724175,0.0001750786,0.00011716737,0.00025222625,0.0001009715,0.0099585755],"category_scores_gemma":[0.0000045029497,0.00014343915,0.00016434708,0.00015850269,0.00013398915,0.0001551265,0.0000848078,0.00028407268,0.006102272],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008507584,0.00094263226,0.0005711153,0.00014359078,0.0011743264,0.0005271885,0.092198655,9.268285e-7,0.1164013,0.2524494,0.23598495,0.29875514],"study_design_scores_gemma":[0.0052592526,0.0017954486,0.009566422,0.00057549204,0.00079289527,0.0016370178,0.0579576,0.0006518323,0.1583635,0.07443848,0.68686885,0.0020932255],"about_ca_topic_score_codex":0.00019760062,"about_ca_topic_score_gemma":0.00003945356,"teacher_disagreement_score":0.45088387,"about_ca_system_score_codex":0.00010229378,"about_ca_system_score_gemma":0.00003005638,"threshold_uncertainty_score":0.9946716},"labels":[],"label_agreement":null},{"id":"W4407219662","doi":"10.1075/ml.24006.wes","title":"Orthographic uncertainty","year":2024,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Alberta","funders":"","keywords":"Computer science; Natural language processing; Artificial intelligence","score_opus":0.0113426503510872,"score_gpt":0.281487742315883,"score_spread":0.2701450919647958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407219662","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07545666,0.0040253834,0.87855387,0.014353153,0.0010095955,0.0005426618,0.0000072505754,0.003942853,0.02210859],"genre_scores_gemma":[0.9926648,0.00005782445,0.0061337673,0.00038061762,0.00004566722,0.000020810763,0.0000031254604,0.0000075297858,0.00068582635],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99924594,0.000042919593,0.00011490614,0.00024475137,0.00018920269,0.00016227938],"domain_scores_gemma":[0.99942756,0.000051030293,0.000020858773,0.00045826868,0.000010733945,0.000031549236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023869114,0.00009355916,0.000078798665,0.00009241763,0.00011097749,0.00017071204,0.00069217035,0.000022711783,0.000028850758],"category_scores_gemma":[0.000004292645,0.000057313948,0.000103703744,0.0006064374,0.00007519307,0.00031297567,0.00021120562,0.00012796499,0.000116534764],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029402695,0.00002606099,0.0001187526,0.000010733438,0.000057047164,0.000023847657,0.0008000614,0.00005084392,0.011686333,0.8114117,0.0027990383,0.17301267],"study_design_scores_gemma":[0.0001885817,0.00019774938,0.0006451443,0.00013388199,0.000049724225,0.00009488895,0.00013566016,0.19255671,0.058331348,0.50700665,0.24009575,0.00056393445],"about_ca_topic_score_codex":0.000024171784,"about_ca_topic_score_gemma":0.000018671859,"teacher_disagreement_score":0.9172082,"about_ca_system_score_codex":0.000042487543,"about_ca_system_score_gemma":0.000020454365,"threshold_uncertainty_score":0.2337195},"labels":[],"label_agreement":null},{"id":"W4407220081","doi":"10.1075/ml.24032.car","title":"The synchronic status of historical bound roots in the mental lexicon","year":2024,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Reading and Literacy Development","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Mental lexicon; Lexicon; Linguistics; Psychology; Computer science; Mathematics; Philosophy","score_opus":0.02286162209231999,"score_gpt":0.3213848385116969,"score_spread":0.2985232164193769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407220081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9376396,0.016038623,0.000009148787,0.00667009,0.0043873983,0.0005992142,0.000026030435,0.000055282766,0.034574635],"genre_scores_gemma":[0.98739403,0.00020173768,0.00001261394,0.00028845598,0.00013212996,0.000093990704,0.000024025197,0.000023880151,0.011829141],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978992,0.00046175727,0.00042800902,0.00029391272,0.00036918672,0.0005479405],"domain_scores_gemma":[0.99886984,0.00052289106,0.00008093887,0.00046289802,0.000010357264,0.000053072992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012239355,0.00019077973,0.00018075615,0.000070681504,0.00026927778,0.00013222556,0.000492308,0.00006828345,0.00034275866],"category_scores_gemma":[0.000019356203,0.000092083814,0.0001127564,0.00025094431,0.00019444665,0.0000798743,0.00008771616,0.0003905835,0.00028505048],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013032672,0.0010910269,0.0065932106,0.00014894638,0.00077538966,0.00018641756,0.2730582,0.000011577458,0.01356013,0.19759776,0.2868769,0.21879719],"study_design_scores_gemma":[0.0007526689,0.000319397,0.028977936,0.00013471,0.000038995597,0.00011653142,0.0059721414,0.0001549617,0.00086214487,0.0033615811,0.95908195,0.00022701341],"about_ca_topic_score_codex":0.0011011646,"about_ca_topic_score_gemma":0.0001905749,"teacher_disagreement_score":0.67220503,"about_ca_system_score_codex":0.0012203382,"about_ca_system_score_gemma":0.00012708962,"threshold_uncertainty_score":0.3755069},"labels":[],"label_agreement":null},{"id":"W4407220562","doi":"10.1075/ml.00026.ted","title":"Words in the World","year":2024,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor; Brock University","funders":"","keywords":"Natural language processing; Computer science","score_opus":0.03518702258329226,"score_gpt":0.27056032530944063,"score_spread":0.23537330272614837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407220562","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29822543,0.00057587714,0.00002806587,0.18750511,0.0071431966,0.0005490966,0.00003416602,0.00016811595,0.5057709],"genre_scores_gemma":[0.98470914,0.000003916486,0.000012227027,0.00077003957,0.0014616129,0.00001718799,0.000011729275,0.000010958627,0.013003204],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994277,0.00006186985,0.00013071882,0.0001010042,0.00015598397,0.00012275782],"domain_scores_gemma":[0.99964863,0.00016292615,0.00001984064,0.00015217764,0.0000075691364,0.000008864765],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00040071385,0.000073814226,0.000059786442,0.00006094511,0.00015412377,0.00032232128,0.00018215306,0.00001036071,0.0014139074],"category_scores_gemma":[0.000021635593,0.00003859651,0.000038220085,0.000052312946,0.00009604302,0.000059510785,0.000028982971,0.00013264199,0.00044175028],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000053104104,0.000019427069,0.000038343736,0.0000103343955,0.000011191029,0.0000058334826,0.11936462,0.0000016464685,0.00003150092,0.87704384,0.001910727,0.0015572207],"study_design_scores_gemma":[0.00024820463,0.00005406791,0.0008120196,0.00019092449,0.000054208012,0.000008942048,0.03801858,0.0038292424,0.00039554035,0.5297629,0.42642334,0.00020198166],"about_ca_topic_score_codex":0.0007542686,"about_ca_topic_score_gemma":0.008430875,"teacher_disagreement_score":0.6864837,"about_ca_system_score_codex":0.000046765028,"about_ca_system_score_gemma":0.000013175428,"threshold_uncertainty_score":0.99949896},"labels":[],"label_agreement":null},{"id":"W4407943227","doi":"10.1075/ml.24018.est","title":"Word processing through lexical decision in Brazilian Portuguese","year":2024,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor; Brock University","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Lexical decision task; Natural language processing; Computer science; Word (group theory); Brazilian Portuguese; Linguistics; Portuguese; Artificial intelligence; Psychology; Cognition","score_opus":0.03769417110537251,"score_gpt":0.3422735562129922,"score_spread":0.3045793851076197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407943227","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990273,0.0016477535,0.00003571082,0.0021966111,0.0006640902,0.0002149937,0.0000074264894,0.00013743689,0.00482298],"genre_scores_gemma":[0.9956323,0.00008655109,0.00009999959,0.003250805,0.000119527416,0.000009263,0.0000035786481,0.000017396442,0.0007805586],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99880826,0.00010382076,0.0002170083,0.0004137975,0.00018505657,0.00027205254],"domain_scores_gemma":[0.99952257,0.00022014999,0.000027501543,0.00019231655,0.0000041503436,0.000033328393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002399073,0.00013434069,0.00012212618,0.000056694655,0.00011839136,0.00008297463,0.00029802436,0.0000625776,0.000119048775],"category_scores_gemma":[0.000086567365,0.00008099706,0.000059955662,0.00031540776,0.00022826107,0.00025038584,0.00012116006,0.0003085782,0.00020669634],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009299637,0.00008078758,0.00003907583,0.000021537026,0.0000016608851,0.0015001333,0.0039948365,0.0000030879303,0.7692643,0.0011106618,0.0007240034,0.22316693],"study_design_scores_gemma":[0.0009557694,0.0003007623,0.0015485568,0.0007071108,0.000021938597,0.002149723,0.0012705227,0.0016566848,0.9037491,0.04209328,0.04496827,0.0005782657],"about_ca_topic_score_codex":0.000029235667,"about_ca_topic_score_gemma":0.000028993722,"teacher_disagreement_score":0.22258866,"about_ca_system_score_codex":0.00003995308,"about_ca_system_score_gemma":0.00004671528,"threshold_uncertainty_score":0.33029643},"labels":[],"label_agreement":null},{"id":"W4409071198","doi":"10.1075/ml.24035.loo","title":"Long-lag morphological priming and inflectional paradigm size effectsin Estonian and Finnish text reading","year":2024,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Concordia University; University of Windsor","funders":"","keywords":"Estonian; Reading (process); Lag; Computer science; Priming (agriculture); Linguistics; Natural language processing; Inflection; Psychology; Artificial intelligence; Biology; Philosophy","score_opus":0.023358243905553515,"score_gpt":0.29343113530788945,"score_spread":0.2700728914023359,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409071198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99552417,0.00067956897,0.0000071561853,0.002245517,0.0003497121,0.00021345554,0.000008918458,0.000108596025,0.0008629255],"genre_scores_gemma":[0.9972073,0.00007224419,0.000040113264,0.0019492005,0.00012200189,0.000009757259,0.0000020065183,0.000011483039,0.00058590353],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990478,0.00014740028,0.000118579104,0.0003797348,0.000098320495,0.00020814606],"domain_scores_gemma":[0.9989337,0.00087996054,0.000026264679,0.00010672738,0.0000023145667,0.000051067196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022070821,0.00013148058,0.00011543217,0.000035104124,0.00027371058,0.00013161269,0.0001042204,0.000062957595,0.000053050648],"category_scores_gemma":[0.00016178322,0.00008341484,0.000031642212,0.00010257606,0.00039652063,0.000104670966,0.000120442535,0.0002459931,0.000028709152],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004678314,0.000024499908,0.00083433435,0.000025332454,0.0000065323634,0.0010088576,0.0012523544,0.0000010417667,0.98975194,0.001455211,0.00022994014,0.0053631677],"study_design_scores_gemma":[0.0008054472,0.00076224277,0.016620178,0.00016984342,0.00006363932,0.02152847,0.00018110314,0.00067312917,0.94718546,0.0059041386,0.0056307158,0.00047560845],"about_ca_topic_score_codex":0.000022166696,"about_ca_topic_score_gemma":0.000005915827,"teacher_disagreement_score":0.04256646,"about_ca_system_score_codex":0.000023373654,"about_ca_system_score_gemma":0.000015241002,"threshold_uncertainty_score":0.34015584},"labels":[],"label_agreement":null},{"id":"W4409071264","doi":"10.1075/ml.24034.der","title":"Finnish noun inflections and the FLH from two perspectives","year":2024,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor; Concordia University; University of Alberta","funders":"","keywords":"Noun; Linguistics; Natural language processing; Computer science; Philosophy","score_opus":0.00828755562613475,"score_gpt":0.28103343779446915,"score_spread":0.2727458821683344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409071264","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28737137,0.22695503,0.26749235,0.19305247,0.0026693074,0.0016124856,0.000059520018,0.0049818438,0.015805615],"genre_scores_gemma":[0.97846496,0.00007398136,0.020376135,0.00044316705,0.00013642132,0.000019026416,0.0000016008153,0.000006660375,0.0004780393],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99939877,0.00006946379,0.00007749874,0.00021528936,0.00013070658,0.000108263295],"domain_scores_gemma":[0.99951226,0.00017304254,0.000020758092,0.00026085923,0.000014638082,0.000018430852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021321853,0.00008458208,0.000069032656,0.000032091513,0.0002715468,0.00055317406,0.00049036625,0.000020888674,0.000019893778],"category_scores_gemma":[0.000020248941,0.00004200193,0.000039181123,0.00020529018,0.00022074036,0.000318464,0.00028653414,0.00020974515,0.00001817339],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017766359,0.000012394365,0.000020231575,0.000006170615,0.00004398257,0.0000075802473,0.02946422,6.8214183e-7,0.008499075,0.90281993,0.0016646035,0.057443332],"study_design_scores_gemma":[0.0006522896,0.00006809134,0.00015004937,0.00011501589,0.000037331225,0.000105042585,0.0018290676,0.025062757,0.042917244,0.91200626,0.016792402,0.00026446494],"about_ca_topic_score_codex":0.0004578384,"about_ca_topic_score_gemma":0.000050675226,"teacher_disagreement_score":0.6910936,"about_ca_system_score_codex":0.000050727747,"about_ca_system_score_gemma":0.000025733962,"threshold_uncertainty_score":0.53342706},"labels":[],"label_agreement":null},{"id":"W4409254679","doi":"10.1075/ml.24009.par","title":"Is there a hip or a pie in hippie?","year":2024,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Hip disorders and treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; University of Alberta; University of Windsor","funders":"","keywords":"Psychology","score_opus":0.03505743256437292,"score_gpt":0.32710546608666197,"score_spread":0.29204803352228903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409254679","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9665334,0.00395016,0.000002004324,0.010104473,0.00014463108,0.00040533938,0.00001324134,0.0000535539,0.018793145],"genre_scores_gemma":[0.9832675,0.00012511887,0.000022304504,0.0010444504,0.00004283223,0.000035655634,0.000011658366,0.000017172964,0.015433321],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99946505,0.000018009672,0.0000992037,0.00014563499,0.00012268955,0.00014941326],"domain_scores_gemma":[0.99976707,0.0000270986,0.000009755417,0.0001548213,0.000003517068,0.000037771213],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007180321,0.000094135146,0.000114060815,0.00004277598,0.000034539822,0.000021628004,0.000051409403,0.000033289536,0.0017587673],"category_scores_gemma":[0.0000042155975,0.000046288504,0.000056952933,0.00014942192,0.000037674334,0.000035475456,0.00002444505,0.00010833723,0.0006707114],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0048503373,0.0043988572,0.21477209,0.0012604581,0.0020900895,0.0059446753,0.085985266,0.0000020575094,0.020768069,0.010175024,0.07312318,0.5766299],"study_design_scores_gemma":[0.03346796,0.0072902,0.26933187,0.0064912364,0.0014066594,0.0017314847,0.023406204,0.005735459,0.062001504,0.036293224,0.55122674,0.0016174614],"about_ca_topic_score_codex":0.00018959811,"about_ca_topic_score_gemma":0.000091572394,"teacher_disagreement_score":0.57501245,"about_ca_system_score_codex":0.000090786336,"about_ca_system_score_gemma":0.00005193396,"threshold_uncertainty_score":0.99915373},"labels":[],"label_agreement":null},{"id":"W4409416031","doi":"10.1075/ml.24028.moo","title":"From ‘<i>jellyfish’</i> to ‘<i>poisson de gelée’</i>","year":2024,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Concordia University; University of Windsor","funders":"","keywords":"Jellyfish; Chemistry; Biology; Fishery","score_opus":0.025119944206052038,"score_gpt":0.3066304005045199,"score_spread":0.2815104562984679,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409416031","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9801829,0.00028773275,0.000039868315,0.011884696,0.0012238721,0.00023813738,0.00010048232,0.00024593962,0.005796399],"genre_scores_gemma":[0.9760244,0.000024925435,0.00006805229,0.020125689,0.0005533954,0.000015135464,0.000007879312,0.000023262148,0.0031572997],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99885356,0.00014354449,0.00013813007,0.000410537,0.00014355444,0.0003106442],"domain_scores_gemma":[0.99932075,0.00028459486,0.000019250916,0.00028471072,0.0000039327315,0.000086772874],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00018634705,0.00013957654,0.00010809196,0.000041480343,0.00014123296,0.00011472894,0.0004040137,0.000050977807,0.00032419886],"category_scores_gemma":[0.000066715445,0.000090516194,0.00007522864,0.00017771623,0.00010496661,0.00007752795,0.00015134446,0.00021337582,0.001321634],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000308688,0.000024130337,0.000015339512,0.000004469972,0.0000044653893,0.00039891465,0.0042822636,0.0000022576153,0.9787305,0.00039122964,0.01048619,0.005629353],"study_design_scores_gemma":[0.00010550473,0.00008891679,0.000023699387,0.00003327829,0.000012542149,0.00020463689,0.00018617505,0.00010728285,0.9079285,0.0030982895,0.08808802,0.00012315746],"about_ca_topic_score_codex":0.00033971362,"about_ca_topic_score_gemma":0.000036312656,"teacher_disagreement_score":0.07760183,"about_ca_system_score_codex":0.000051920688,"about_ca_system_score_gemma":0.000034247616,"threshold_uncertainty_score":0.9994559},"labels":[],"label_agreement":null},{"id":"W7125370784","doi":"10.1075/ml.24002.vin","title":"The impact of walking and visual distraction on lexicality judgements","year":2025,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University; University of Alberta; McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Distraction; Human multitasking; Cognition; Lexical decision task; Task (project management); Cognitive load; Task analysis; Gait; Virtual reality","score_opus":0.026732758772924105,"score_gpt":0.409598575192267,"score_spread":0.3828658164193429,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7125370784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97790676,0.00003618235,0.00060084707,0.00124603,0.0004972439,0.0001937138,0.0000059938666,0.000018563305,0.01949469],"genre_scores_gemma":[0.99720937,0.000013767288,0.0000024346825,0.00017505238,0.00003062452,0.00000943113,0.0000158838,0.000003695514,0.002539731],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99942684,0.00013076831,0.00016106885,0.00010163606,0.00009087765,0.00008878613],"domain_scores_gemma":[0.99963665,0.000115072304,0.00009335116,0.00012047616,0.000019453,0.0000150163205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027450928,0.00006403286,0.0000631701,0.00002307245,0.00025518477,0.000027027812,0.000061043174,0.00003484351,0.00025725778],"category_scores_gemma":[0.000022784108,0.00003488764,0.00004147295,0.00010511325,0.000084587504,0.000050630882,0.000022911021,0.00008617925,0.00002340014],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020831737,0.0012286906,0.23311388,0.000030846328,0.00073532807,0.0000011025645,0.003687907,0.00006882099,0.021794273,0.14599432,0.02736698,0.5638947],"study_design_scores_gemma":[0.00045763078,0.00014246967,0.99240106,0.000012771015,0.000012178951,0.0000011658789,0.0007829363,0.0007992304,0.0015412167,0.0015177622,0.0022888326,0.000042757812],"about_ca_topic_score_codex":0.00016403692,"about_ca_topic_score_gemma":0.000010140248,"teacher_disagreement_score":0.7592872,"about_ca_system_score_codex":0.000094940064,"about_ca_system_score_gemma":0.000013528212,"threshold_uncertainty_score":0.28167924},"labels":[],"label_agreement":null}]}