{"meta":{"query_hash":"5f85dca5f458","filters":{"venue":"Marketing Letters"},"cohort_total":78,"direct_labels_cover":0,"predictions_cover":78,"exported":78,"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/5f85dca5f458","api":"https://metacan.xera.ac/api/v1/cohort?venue=Marketing+Letters"},"results":[{"id":"W1535684126","doi":"10.1023/a:1008135126025","title":"Advertising Spending and Perceived Quality","year":2000,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":124,"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 Toronto","funders":"","keywords":"Durable good; Quality (philosophy); Product (mathematics); Advertising; Business; Marketing; Perceived quality; Perception; Market share; Economics; Microeconomics; Psychology","score_opus":0.023948539696113113,"score_gpt":0.2562192152305634,"score_spread":0.2322706755344503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1535684126","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":[0.99096656,0.000038590468,0.000017075614,0.0019022179,0.00016767254,0.00009849485,5.851161e-7,0.00013737442,0.0066714077],"genre_scores_gemma":[0.9967135,0.000019640238,0.00010831199,0.0022211773,0.00021798373,0.000006672625,0.000012372821,0.000014108485,0.00068622496],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9991347,0.000042089567,0.00022855643,0.0002588615,0.00015214014,0.00018364728],"domain_scores_gemma":[0.9996683,0.00006721189,0.00007862389,0.00015497087,0.000019668512,0.000011219141],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00079973263,0.00010921897,0.00010738069,0.000106909756,0.00027942262,0.0004144848,0.00009550443,0.000028000373,0.004058042],"category_scores_gemma":[0.00008823328,0.00011625167,0.000044324068,0.00013052564,0.00005502373,0.0005533497,0.000035545363,0.00008955377,0.00034267138],"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":[0.00008389348,0.000018310526,0.25333804,0.000087172644,0.000008814314,0.0000043905134,0.000051292718,0.000002170979,0.041450065,0.000053547115,0.0023762537,0.70252603],"study_design_scores_gemma":[0.00027761655,1.9911927e-7,0.97542214,0.000051212588,0.000026289617,0.0000024068815,0.00006239257,0.00027393387,0.000011201433,0.000016214062,0.023694528,0.00016187718],"about_ca_topic_score_codex":0.00023994182,"about_ca_topic_score_gemma":0.000019936975,"teacher_disagreement_score":0.7220841,"about_ca_system_score_codex":0.000018125605,"about_ca_system_score_gemma":0.0000018946373,"threshold_uncertainty_score":0.9968524},"labels":[],"label_agreement":null},{"id":"W1592898921","doi":"10.1007/s11002-014-9308-z","title":"Multiplicity of equilibria and information structures in empirical games: challenges and prospects","year":2014,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":14,"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 Toronto","funders":"","keywords":"A priori and a posteriori; Computer science; Mathematical economics; Empirical research; Economics; Management science; Data science; Mathematics; Epistemology","score_opus":0.017500793350195998,"score_gpt":0.23072118018531795,"score_spread":0.21322038683512196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1592898921","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":[0.9951301,0.00016398286,0.000026132668,0.0019281266,0.00006215383,0.00013519119,3.8498612e-7,0.000033775068,0.0025201293],"genre_scores_gemma":[0.9985283,0.000035871,0.0002090243,0.0011281904,0.00008207022,0.00000498524,0.0000028237043,0.00000709826,0.0000016320575],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99932176,0.00004040468,0.00021971606,0.00014518398,0.000117244505,0.00015570097],"domain_scores_gemma":[0.999508,0.00022591653,0.0001312367,0.0001019562,0.000023944618,0.000008926645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009928923,0.000108542925,0.00016143773,0.00020437597,0.000040025654,0.00008725796,0.00006453003,0.00003982582,0.000011723512],"category_scores_gemma":[0.00048440913,0.00010077067,0.000017848208,0.00010106882,0.000056487235,0.0008257958,0.00014069643,0.000097011456,0.000001076601],"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":[0.00010113691,0.000008200393,0.8294911,0.00064211927,0.0000051435645,9.2645604e-7,0.0003770635,0.0000028426573,0.0032841822,0.00032114197,0.00014741329,0.16561876],"study_design_scores_gemma":[0.00044176448,0.0000030084302,0.99242556,0.000082895844,0.00001336657,0.0000013984795,0.00011707885,0.0029680196,0.000021786704,0.00013365285,0.0036740464,0.000117425014],"about_ca_topic_score_codex":0.00010307077,"about_ca_topic_score_gemma":0.000045352554,"teacher_disagreement_score":0.16550133,"about_ca_system_score_codex":0.0000067169062,"about_ca_system_score_gemma":0.00000240641,"threshold_uncertainty_score":0.41093084},"labels":[],"label_agreement":null},{"id":"W1822931972","doi":"10.1007/s11002-012-9185-2","title":"Marketing and politics: Models, behavior, and policy implications","year":2012,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Social Media and Politics","field":"Social Sciences","cited_by":37,"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 Toronto","funders":"","keywords":"Politics; Marketing; Marketing science; Marketing research; Public relations; Public Sector Marketing; Voting behavior; Business-to-government; Marketing mix; Qualitative marketing research; Political science; Marketing management; Return on marketing investment; Relationship marketing; Business; Voting","score_opus":0.03315551257126886,"score_gpt":0.320635392034507,"score_spread":0.28747987946323816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1822931972","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":[0.95883447,0.00042201945,0.00003561269,0.024263611,0.00020796988,0.00016751024,0.000010782949,0.000077096636,0.015980946],"genre_scores_gemma":[0.9933337,0.00023806684,0.00090188964,0.0033992685,0.0018828396,0.000034110304,0.0000029760754,0.000017196124,0.00018996072],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982839,0.00057992275,0.00014992735,0.00014831903,0.00016630905,0.00067162287],"domain_scores_gemma":[0.9982244,0.0012349105,0.000061927516,0.00011113961,0.000030864234,0.00033680612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015414994,0.000102607475,0.00011248204,0.000090923684,0.0007802249,0.000092172646,0.00009475776,0.00008252013,0.000020426092],"category_scores_gemma":[0.0013342826,0.00011523054,0.000029513285,0.00014617502,0.00038491542,0.00022161404,0.000066067594,0.0001269963,0.0000033872402],"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":[0.000008595057,0.000035692472,0.8792315,0.00004081702,0.000015899579,0.0000012197113,0.025906267,3.3273304e-7,0.0011180969,0.06358764,0.0038969654,0.026156973],"study_design_scores_gemma":[0.00031006619,0.0000066433295,0.87242085,0.00006346406,0.00009503962,0.000012248461,0.014152728,0.0000285823,0.000026906187,0.0019928175,0.11042862,0.00046205995],"about_ca_topic_score_codex":0.0023468619,"about_ca_topic_score_gemma":0.000036080244,"teacher_disagreement_score":0.10653166,"about_ca_system_score_codex":0.000103352555,"about_ca_system_score_gemma":0.00006156773,"threshold_uncertainty_score":0.60009384},"labels":[],"label_agreement":null},{"id":"W1965884048","doi":"10.1007/s11002-015-9371-0","title":"Loyalty as a matter of principle: the influence of standards of judgment on customer loyalty","year":2015,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Loyalty; Normative; Marketing; Advertising; Loyalty business model; Function (biology); Business; Political science; Law; Service (business)","score_opus":0.021161804823718936,"score_gpt":0.2700262260545428,"score_spread":0.24886442123082386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965884048","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":[0.994346,0.000018792296,0.0000141727305,0.0018930405,0.00017677087,0.00022279599,0.0000090449075,0.00001834012,0.0033010303],"genre_scores_gemma":[0.9979243,0.0000031580187,0.000026031308,0.0017560751,0.000048632286,0.000015988466,0.0000059950416,0.000012973803,0.00020681367],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99854046,0.000061911924,0.00045109043,0.00017786724,0.00062385644,0.00014483539],"domain_scores_gemma":[0.99862355,0.000092780065,0.00051624083,0.0003693481,0.000385425,0.000012666432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002034845,0.00011789625,0.00018297712,0.00015917388,0.000053525484,0.000044926812,0.00026243075,0.000032703258,0.00041952272],"category_scores_gemma":[0.00033140805,0.00009070155,0.000076387194,0.00024865934,0.00015676688,0.00017963117,0.00010906784,0.00010052752,0.00010257094],"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":[0.0011604495,0.00025655044,0.8717282,0.00090736494,0.00008027602,0.000003194257,0.00029878077,0.0010283438,0.043104246,0.00041139213,0.06120538,0.019815857],"study_design_scores_gemma":[0.00059030956,0.0000048598185,0.9624384,0.00023243739,0.00007670564,7.5639934e-7,0.0001149229,0.00007021299,0.001209101,0.000018580264,0.035115615,0.00012812194],"about_ca_topic_score_codex":0.00030644666,"about_ca_topic_score_gemma":0.000009654218,"teacher_disagreement_score":0.09071021,"about_ca_system_score_codex":0.00004016156,"about_ca_system_score_gemma":0.00003465409,"threshold_uncertainty_score":0.45934796},"labels":[],"label_agreement":null},{"id":"W1967039550","doi":"10.1007/s11002-012-9186-1","title":"Beyond nudges: Tools of a choice architecture","year":2012,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":39,"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":"Choice architecture; Nudge theory; Structuring; Architecture; Task (project management); Computer science; Management science; Decision maker; Engineering; Economics; Microeconomics; Psychology; Systems engineering; Social psychology","score_opus":0.056592374437669006,"score_gpt":0.2022426291201726,"score_spread":0.1456502546825036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967039550","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":[0.973329,0.00047765073,0.0011965717,0.001464954,0.0002770654,0.000095685864,0.000029963096,0.000014964135,0.023114113],"genre_scores_gemma":[0.99566525,0.000017194116,0.0019752255,0.0018960944,0.00019199934,0.000010781912,0.00001547177,0.000016809492,0.00021115874],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992018,0.00003072215,0.0003436335,0.00016299645,0.000023144752,0.00023771814],"domain_scores_gemma":[0.9993265,0.00020158074,0.00024036315,0.00018030239,0.000001862725,0.000049389964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001157189,0.000092529524,0.00018764455,0.000079820406,0.000042525735,0.000017216955,0.00010991047,0.00004353315,0.00070344197],"category_scores_gemma":[0.00020202406,0.00011013137,0.00007796414,0.00005598929,0.00004671311,0.00019742505,0.000041998734,0.0000899295,0.0002582263],"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":[0.000010155028,0.000034081044,0.9898367,0.0000325014,0.000027746057,1.344042e-7,0.0003866769,0.00018084793,0.0013640072,0.0013989256,0.002755865,0.00397236],"study_design_scores_gemma":[0.00024782037,0.000008564045,0.9795352,0.000010419211,0.000004836147,0.0000017173419,0.00004054795,0.00007817293,0.00021914803,0.00029540865,0.019409217,0.0001489297],"about_ca_topic_score_codex":0.000036693884,"about_ca_topic_score_gemma":0.0000013964044,"teacher_disagreement_score":0.022902954,"about_ca_system_score_codex":0.00007054751,"about_ca_system_score_gemma":0.0000016133758,"threshold_uncertainty_score":0.7702196},"labels":[],"label_agreement":null},{"id":"W1969197196","doi":"10.1007/s11002-014-9340-z","title":"Attributions of blame following a product-harm crisis depend on consumers’ attachment styles","year":2014,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Attachment and Relationship Dynamics","field":"Psychology","cited_by":83,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; York University","funders":"","keywords":"Attribution; Blame; Harm; Psychology; Interpersonal communication; Social psychology; Attachment theory; Style (visual arts); Interpersonal influence; Product (mathematics); Brand relationship; Advertising; Business; Brand management","score_opus":0.019957007869969314,"score_gpt":0.34801967339135603,"score_spread":0.32806266552138674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969197196","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":[0.9744199,0.000093050076,0.004161832,0.010208083,0.00086625514,0.00033194435,0.000015409718,0.00010067013,0.009802854],"genre_scores_gemma":[0.99721915,0.0000030311228,0.0008593325,0.0011326268,0.00011397032,0.000037660306,0.00004815346,0.00002901566,0.0005570899],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979119,0.00061265304,0.00039368606,0.00041758415,0.000277543,0.0003866396],"domain_scores_gemma":[0.9984258,0.0008091319,0.00021215412,0.00045272635,0.000030327157,0.00006989113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016693549,0.00019861729,0.0002548192,0.00017072188,0.00022248727,0.000025554058,0.00019786041,0.00008412482,0.00024112094],"category_scores_gemma":[0.00023966843,0.00018964864,0.00019573141,0.00019410257,0.00007039894,0.000050653514,0.000052757565,0.00028482426,0.00012885632],"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":[0.00025054606,0.0003080329,0.9468092,0.00007146353,0.0005924061,0.000018840132,0.001520023,0.00038564068,0.0052483794,0.0034773916,0.03771227,0.0036058049],"study_design_scores_gemma":[0.0028895382,0.00018900125,0.9572052,0.00030166612,0.0005417584,0.000016503627,0.0026684771,0.0009952352,0.00067926105,0.0000886117,0.033495232,0.00092954177],"about_ca_topic_score_codex":0.000050776376,"about_ca_topic_score_gemma":0.000006942681,"teacher_disagreement_score":0.022799218,"about_ca_system_score_codex":0.000077257246,"about_ca_system_score_gemma":0.000011213794,"threshold_uncertainty_score":0.7733647},"labels":[],"label_agreement":null},{"id":"W1970631463","doi":"10.1007/s11002-008-9050-5","title":"Convergence in the high-technology consumer markets: Not all brands gain equally from adding new functionalities to products","year":2008,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Samsung","keywords":"Product (mathematics); Quality (philosophy); Business; Congruence (geometry); Convergence (economics); Mobile phone; Advertising; Marketing; Technological convergence; Computer science; Mathematics; Telecommunications; Economics","score_opus":0.04225141193803808,"score_gpt":0.2326468062105862,"score_spread":0.19039539427254812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970631463","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":[0.9556708,0.00014826785,0.00018027054,0.042253207,0.00089752435,0.00036632692,0.000007804269,0.00015878679,0.0003170214],"genre_scores_gemma":[0.9786792,0.000033216475,0.0003965998,0.019523041,0.00048485803,0.00008330963,0.00009109883,0.000023802822,0.00068488676],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99822277,0.0001078102,0.00042654155,0.0005022216,0.00038822246,0.00035243065],"domain_scores_gemma":[0.99894077,0.0003404266,0.00017600045,0.00042096025,0.00010354531,0.000018284194],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012186356,0.00021315778,0.00019868829,0.000452977,0.0002740804,0.00022151855,0.0004553481,0.00007567795,0.001037963],"category_scores_gemma":[0.0007914302,0.0001930151,0.000054823435,0.0007322113,0.000121313846,0.0004463503,0.00012625757,0.0002375087,0.0004781945],"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":[0.0009125442,0.00013347775,0.37223157,0.00012406231,0.000088791974,0.00008749271,0.00072345935,0.000031726184,0.07424808,0.0009550805,0.49669826,0.05376545],"study_design_scores_gemma":[0.00080310437,0.0000019899167,0.8189888,0.00009437843,0.00005784451,0.000008303527,0.000370575,0.000075274045,0.0002422126,0.00008467509,0.17892344,0.0003493941],"about_ca_topic_score_codex":0.001309568,"about_ca_topic_score_gemma":0.00013636977,"teacher_disagreement_score":0.44675723,"about_ca_system_score_codex":0.000045664263,"about_ca_system_score_gemma":0.00003466389,"threshold_uncertainty_score":0.99987525},"labels":[],"label_agreement":null},{"id":"W1971838088","doi":"10.1007/s11002-012-9208-z","title":"More effective assessment of market performance in later stages of the product development process: The case of the motion picture industry","year":2012,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"New product development; Revenue; Interdependence; Product (mathematics); Production (economics); Process (computing); Marketing; Business; Industrial organization; Econometrics; Computer science; Economics; Microeconomics","score_opus":0.02242910871395006,"score_gpt":0.33172797572519525,"score_spread":0.3092988670112452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971838088","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":[0.9957485,0.000014907832,0.00011242503,0.0029536572,0.0001312216,0.00054373103,0.000005332937,0.0000040907157,0.00048608816],"genre_scores_gemma":[0.99935454,5.644081e-7,0.00015119303,0.00021828669,0.00003574857,0.00006896695,3.156026e-7,0.0000051410257,0.00016526856],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979024,0.0009247107,0.00043197387,0.0001675625,0.00042891168,0.00014445993],"domain_scores_gemma":[0.9979989,0.00088081916,0.00052563846,0.00046910395,0.000108934946,0.000016627951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0077341935,0.00009326578,0.0001353835,0.00005756233,0.00018852254,0.00001360232,0.00045974174,0.000051104373,0.00007756491],"category_scores_gemma":[0.0008862371,0.000040162628,0.00005196148,0.0006311129,0.00024857727,0.00013717983,0.00014159488,0.0003284267,5.3854654e-7],"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":[0.000030355704,0.000060137856,0.9792883,0.00006350955,0.000014479602,2.9153586e-7,0.003197399,0.0011516478,0.0027100302,0.00002101021,0.0004759891,0.01298687],"study_design_scores_gemma":[0.000090915135,0.0000034908974,0.96881,0.00008032602,0.000008955255,0.000015851378,0.0022105281,0.00017454525,0.028179063,0.000033510278,0.00034530563,0.00004747488],"about_ca_topic_score_codex":0.0000030738343,"about_ca_topic_score_gemma":0.0000031975576,"teacher_disagreement_score":0.025469033,"about_ca_system_score_codex":0.00003846882,"about_ca_system_score_gemma":0.000041966483,"threshold_uncertainty_score":0.26805326},"labels":[],"label_agreement":null},{"id":"W1972781650","doi":"10.1007/s11002-006-5927-3","title":"Interaction between two types of information on reactions to delays","year":2006,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":29,"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 Guelph","funders":"","keywords":"Duration (music); Attribution; Affect (linguistics); Control (management); Network delay; Information processing; Computer science; Term (time); Group delay and phase delay; Social psychology; Psychology; Cognitive psychology; Telecommunications; Computer network; Communication; Artificial intelligence; Physics; Acoustics","score_opus":0.015152242783104466,"score_gpt":0.24507455606864822,"score_spread":0.22992231328554374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972781650","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":[0.9638711,0.0000011248443,0.000861154,0.006721811,0.00025133797,0.00010924133,0.000002794016,0.00007968924,0.028101755],"genre_scores_gemma":[0.99213845,1.5656715e-7,0.00021243641,0.006766268,0.0007591471,0.000006462415,0.000065295084,0.000007723293,0.000044086806],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99929595,0.000024036037,0.00029056927,0.00009396167,0.00016309616,0.00013241248],"domain_scores_gemma":[0.9994504,0.00014691785,0.00020661921,0.00012829553,0.0000614567,0.0000063029493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070252584,0.00008455569,0.000101177306,0.00029586602,0.00009609397,0.000104074345,0.000094512405,0.000024244086,0.0000883001],"category_scores_gemma":[0.00011846376,0.00008646193,0.000043954034,0.0003287425,0.000010356477,0.00082900946,0.00004228736,0.000098066994,0.00038913442],"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":[0.0014523335,0.00028865002,0.52668566,0.002387543,0.00017772756,0.0000061688097,0.0007605167,0.047639813,0.024196714,0.011252614,0.26010492,0.12504737],"study_design_scores_gemma":[0.00043987174,0.000009864506,0.50872105,0.00023303914,0.000058843885,6.442845e-7,0.00028124708,0.0012796734,0.0004210732,0.00014313002,0.48813912,0.0002724625],"about_ca_topic_score_codex":0.0035893535,"about_ca_topic_score_gemma":0.00010663004,"teacher_disagreement_score":0.2280342,"about_ca_system_score_codex":0.000033366538,"about_ca_system_score_gemma":0.0000028721602,"threshold_uncertainty_score":0.5426053},"labels":[],"label_agreement":null},{"id":"W1973560033","doi":"10.1007/s11002-010-9110-5","title":"Marketing modeling reality and the realities of marketing modeling","year":2010,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":21,"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 Toronto","funders":"","keywords":"Generalizability theory; Computer science; Robustness (evolution); Complementarity (molecular biology); Management science; Key (lock); Incentive; Marketing; Economics; Microeconomics; Business; Mathematics","score_opus":0.021110984033232354,"score_gpt":0.22785820567567805,"score_spread":0.2067472216424457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973560033","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":[0.9742244,0.0001703849,0.0017329662,0.005634925,0.00060169114,0.0003978453,0.0000041445037,0.00019780142,0.01703587],"genre_scores_gemma":[0.9961013,0.000052342883,0.0011665259,0.0016278835,0.0008742277,0.00003373724,0.000014169509,0.00007432313,0.000055476437],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99640167,0.00072374893,0.0009850967,0.00063331914,0.00056016934,0.00069600774],"domain_scores_gemma":[0.9952223,0.0033411894,0.0005133176,0.00066063047,0.0002279348,0.00003463751],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.03474713,0.0004157937,0.00055567164,0.00031742195,0.0007529867,0.00053232664,0.0005270563,0.000135412,0.00016415292],"category_scores_gemma":[0.006685243,0.00034051112,0.00022476996,0.0004376026,0.00034385175,0.0007050778,0.000640875,0.0008268263,0.0000046590885],"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":[0.02818515,0.00024044576,0.5998201,0.009081065,0.000600436,0.00009286763,0.0023448209,0.018652132,0.08948092,0.007150989,0.0061266744,0.23822443],"study_design_scores_gemma":[0.0017068051,0.0000017206137,0.026060704,0.00058454665,0.00029506022,0.000018547134,0.0012907721,0.96732473,0.000018616438,0.0004164264,0.0016257745,0.00065627677],"about_ca_topic_score_codex":0.00316288,"about_ca_topic_score_gemma":0.00029504223,"teacher_disagreement_score":0.9486726,"about_ca_system_score_codex":0.000020594553,"about_ca_system_score_gemma":0.000024739596,"threshold_uncertainty_score":0.9999047},"labels":[],"label_agreement":null},{"id":"W1975300204","doi":"10.1007/s11002-012-9202-5","title":"Consumers’ online responses to the death of a celebrity","year":2012,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":24,"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 Calgary","funders":"","keywords":"Advertising; Context (archaeology); Product (mathematics); Common value auction; Value (mathematics); Marketing; Business; History; Economics; Computer science; Mathematics","score_opus":0.046212071011491544,"score_gpt":0.2689707624457616,"score_spread":0.22275869143427007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975300204","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":[0.98906744,0.000098754426,0.000081779996,0.009326441,0.0005144478,0.00020742392,0.000007280776,0.00006059518,0.0006358628],"genre_scores_gemma":[0.9935892,0.000004658986,0.00019808522,0.005624562,0.0002989327,0.000019402518,0.000017057422,0.000013264079,0.0002348196],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990899,0.00007466144,0.00024561802,0.00014454167,0.00020516376,0.00024010768],"domain_scores_gemma":[0.99927694,0.00019728529,0.00015108426,0.00028107196,0.000076892866,0.000016716203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015237045,0.00010474329,0.00011253653,0.00015758758,0.00016742384,0.00009966334,0.00022211178,0.000025386667,0.0004554283],"category_scores_gemma":[0.0004815704,0.000084212275,0.00006867105,0.00019152368,0.00004853835,0.00029105434,0.00010854838,0.00009613686,0.0002786716],"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":[0.00018529124,0.000090183006,0.9159032,0.00005556658,0.00001587986,7.0453626e-7,0.000074564574,7.8602244e-7,0.023052806,0.00020009707,0.014836112,0.045584813],"study_design_scores_gemma":[0.00014403572,4.5584198e-7,0.8873075,0.000027729644,0.000052096,0.0000014078852,0.00011277648,0.000028794986,0.0000958623,0.0000034520708,0.112126306,0.00009955879],"about_ca_topic_score_codex":0.00037267726,"about_ca_topic_score_gemma":0.000031640277,"teacher_disagreement_score":0.097290196,"about_ca_system_score_codex":0.000016676002,"about_ca_system_score_gemma":0.000006285427,"threshold_uncertainty_score":0.49866205},"labels":[],"label_agreement":null},{"id":"W1978182232","doi":"10.1007/s11002-006-3796-4","title":"The effects of relationship quality on customer retaliation","year":2006,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":403,"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; Western University","funders":"","keywords":"Controllability; Quality (philosophy); Construct (python library); Service quality; Service (business); Partial least squares regression; Attribution; Psychology; Marketing; Social psychology; Business; Computer science; Mathematics; Statistics; Epistemology","score_opus":0.014353729538165164,"score_gpt":0.2384119113303931,"score_spread":0.22405818179222795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978182232","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":[0.9658318,0.00003626934,0.000049298964,0.008425735,0.00045333777,0.0001768551,5.7785843e-7,0.0000809437,0.024945186],"genre_scores_gemma":[0.9942747,0.0000010272192,0.000026006845,0.004599935,0.00061249034,0.000013040406,0.000017335495,0.000014195165,0.00044131945],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987943,0.00016967514,0.00034633474,0.00017262084,0.00031781825,0.00019921055],"domain_scores_gemma":[0.997229,0.0020868746,0.0003530242,0.000268578,0.000057824625,0.000004712919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027184112,0.00011267333,0.00012219023,0.000097822754,0.00034971038,0.00012553707,0.00017003418,0.000045407967,0.00001873162],"category_scores_gemma":[0.0011643063,0.00008765993,0.000085353,0.0003539802,0.000058789374,0.00023721032,0.000045516652,0.00014610159,0.0001399327],"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":[0.00047733512,0.00014859281,0.80111694,0.0022929846,0.000044089407,0.0000057000348,0.00009512611,0.00034166969,0.009409928,0.102744296,0.07699798,0.0063253557],"study_design_scores_gemma":[0.00029754365,0.0000024900116,0.9578009,0.00009477162,0.000027418924,1.2464601e-7,0.000045432476,0.00015253238,0.00015080889,0.000436175,0.040857017,0.00013476759],"about_ca_topic_score_codex":0.001057453,"about_ca_topic_score_gemma":0.00013353175,"teacher_disagreement_score":0.15668397,"about_ca_system_score_codex":0.000028411001,"about_ca_system_score_gemma":0.0000041153417,"threshold_uncertainty_score":0.35746682},"labels":[],"label_agreement":null},{"id":"W1985426902","doi":"10.1007/s11002-012-9188-z","title":"Decision neuroscience and consumer decision making","year":2012,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":132,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Consumer neuroscience; Neuroscience; Context (archaeology); Social neuroscience; Psychology; Developmental cognitive neuroscience; Systems neuroscience; Cultural neuroscience; Cognitive science; Cognitive neuroscience; Cognition; Social cognition; Biology; Prefrontal cortex","score_opus":0.10141936575195545,"score_gpt":0.3693206095145647,"score_spread":0.26790124376260926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985426902","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":[0.99621254,0.00011589747,0.0003442033,0.0013277853,0.0014242044,0.00010311508,0.0000019409645,0.00007228822,0.00039801587],"genre_scores_gemma":[0.9859515,0.0000448734,0.0011425436,0.012728436,0.00007364538,0.00000567511,6.484885e-8,0.000011888242,0.000041412382],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99851876,0.0001746644,0.00018040759,0.00041907016,0.00025394035,0.0004531502],"domain_scores_gemma":[0.9983155,0.0013431218,0.00007177329,0.00017847624,0.000008595484,0.00008253989],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006513909,0.00014537471,0.00012783181,0.00008442803,0.00038838643,0.0000637202,0.00018271897,0.000033827942,0.000028294775],"category_scores_gemma":[0.0015213336,0.000112967806,0.000036420803,0.00021556459,0.0003223263,0.00027697673,0.00022730642,0.00016664172,0.000039710034],"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":[0.000099797304,0.000033311266,0.14591682,0.0000038451376,3.4695682e-7,0.000021737109,0.000054815442,0.000001027642,0.74470264,0.000005295553,0.005236421,0.10392392],"study_design_scores_gemma":[0.00044176396,0.00004295416,0.9569766,0.00014616625,0.000019321606,0.00027924773,0.000033689266,0.0000618041,0.02139761,0.00007161763,0.020140622,0.00038860453],"about_ca_topic_score_codex":0.0000012687427,"about_ca_topic_score_gemma":5.716713e-7,"teacher_disagreement_score":0.8110598,"about_ca_system_score_codex":0.000012958367,"about_ca_system_score_gemma":0.000001916392,"threshold_uncertainty_score":0.46066937},"labels":[],"label_agreement":null},{"id":"W1988989417","doi":"10.1007/s11002-013-9231-8","title":"Ingredient branding and feedback effects: The impact of product outcomes, initial parent brand strength asymmetry, and parent brand role","year":2013,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"Washington State University","keywords":"Ingredient; Extant taxon; Business; Product (mathematics); Marketing; Advertising; Brand equity; Psychology; Food science; Mathematics","score_opus":0.014415132565034862,"score_gpt":0.2538641814223644,"score_spread":0.23944904885732954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988989417","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":[0.9967664,0.0003852687,0.00001811961,0.0014663136,0.0003385877,0.00070438185,0.0000045954444,0.000054813783,0.00026155871],"genre_scores_gemma":[0.99918276,0.000039835828,0.000023915818,0.00040265082,0.00020661074,0.00006658048,0.000024231458,0.000023357941,0.000030031177],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985422,0.00010213755,0.0004096226,0.00038023325,0.00026474273,0.00030106396],"domain_scores_gemma":[0.99894375,0.00034675407,0.0003115584,0.0002774372,0.00008946315,0.000031027368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008596796,0.00025584685,0.00029282967,0.00021429801,0.0003011438,0.0006407266,0.00016656243,0.000040953615,0.00015673958],"category_scores_gemma":[0.0003751772,0.00017624044,0.00011164169,0.00022148812,0.0001565661,0.0005546157,0.00017409149,0.0001713046,0.000018209977],"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":[0.0000942993,0.000063344996,0.81284326,0.00023304959,0.00008040892,0.0000011384437,0.00012800068,0.0000031999075,0.008574444,0.000005920445,0.003244814,0.17472813],"study_design_scores_gemma":[0.001248341,0.0000055992305,0.9969178,0.00014915243,0.00011862261,0.0000035328412,0.00020326061,0.00053217774,0.00014513671,0.000026695227,0.00043372816,0.0002159492],"about_ca_topic_score_codex":0.0015899495,"about_ca_topic_score_gemma":0.000043882974,"teacher_disagreement_score":0.18407455,"about_ca_system_score_codex":0.000035268597,"about_ca_system_score_gemma":0.000009388954,"threshold_uncertainty_score":0.71868765},"labels":[],"label_agreement":null},{"id":"W1991209653","doi":"10.1007/s11002-008-9057-y","title":"Towards a brain-to-society systems model of individual choice","year":2008,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; The Quebec Population Health Research Network; Montreal Neurological Institute and Hospital; Queen's University; McGill University","funders":"","keywords":"Aggregate (composite); Consumer choice; Discrete choice; Computer science; Dual (grammatical number); Process (computing); Function (biology); Competition (biology); Consumer behaviour; Management science; Microeconomics; Economics; Psychology; Machine learning; Social psychology; Ecology","score_opus":0.043968784198549306,"score_gpt":0.24263523380821267,"score_spread":0.19866644960966337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991209653","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":[0.9899283,0.000005305165,0.0026829808,0.005656072,0.00035843073,0.00021474621,0.000032587373,0.00007944211,0.0010421155],"genre_scores_gemma":[0.97994953,0.000005207859,0.0006888103,0.018737137,0.00010909905,0.000014750686,0.0000026083808,0.000022031765,0.0004708443],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984211,0.00018508903,0.00024678608,0.00036423118,0.00049228733,0.00029053038],"domain_scores_gemma":[0.99893785,0.000621664,0.000119891825,0.00021545823,0.000025462195,0.000079689155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007090935,0.00013564594,0.00016958882,0.00006706467,0.0001802105,0.000040277086,0.0002969641,0.000047249032,0.0000064101846],"category_scores_gemma":[0.0011765128,0.00012779117,0.000116095885,0.00030259136,0.000087045286,0.00009967028,0.00013031773,0.00016083127,0.000008050087],"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":[0.00003632,0.000024718738,0.0010533809,0.000060016937,0.000007222686,0.0000067648684,0.00041253582,0.017085632,0.94307494,0.000049152455,0.03739822,0.0007910838],"study_design_scores_gemma":[0.0014918064,0.00017684932,0.049707796,0.00026296385,0.000041502408,0.00015961737,0.00012387308,0.8917769,0.043435,0.000023398246,0.011795204,0.0010050599],"about_ca_topic_score_codex":0.00003582899,"about_ca_topic_score_gemma":7.157885e-7,"teacher_disagreement_score":0.89963996,"about_ca_system_score_codex":0.00004126251,"about_ca_system_score_gemma":0.000027231654,"threshold_uncertainty_score":0.52111727},"labels":[],"label_agreement":null},{"id":"W2004880578","doi":"10.1007/s11002-005-5900-6","title":"Decision Strategy and Structure in Households: A “Groups” Perspective","year":2005,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture Food and Rural Development; University of Alberta","funders":"","keywords":"Perspective (graphical); Set (abstract data type); Microeconomics; Choice set; Marketing; Isolation (microbiology); Taste; Consumer behaviour; Economics; Business; Computer science; Econometrics; Psychology; Artificial intelligence","score_opus":0.033804923801423886,"score_gpt":0.2025327351619001,"score_spread":0.1687278113604762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004880578","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":[0.9930561,0.0007376812,0.00029592295,0.0017132419,0.000069444235,0.000098995246,0.000019989342,0.000014514177,0.0039941156],"genre_scores_gemma":[0.9969783,0.00009521628,0.0016865936,0.0010484863,0.00009124547,0.0000046870096,0.0000039147067,0.000015508838,0.00007604312],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991895,0.000022337385,0.0002789327,0.00031890272,0.000020101037,0.00017021455],"domain_scores_gemma":[0.9996545,0.00008454925,0.000108420274,0.00011715236,0.0000019697304,0.000033452896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058531,0.00009923415,0.00015801066,0.0000983807,0.000047613306,0.00004755675,0.00007041497,0.000053683267,0.0003234196],"category_scores_gemma":[0.00006970477,0.00011984947,0.000028462891,0.00005980948,0.000038298,0.00020510811,0.000036813184,0.00011669969,0.00006201266],"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":[0.000057030964,0.000030712778,0.9739748,0.00001030183,0.000017581993,0.0000034493564,0.000970471,0.0050978754,0.0005808204,0.0062675932,0.0011525435,0.0118368035],"study_design_scores_gemma":[0.00054972264,0.000011915522,0.99133474,0.000014838858,0.0000016896767,0.000004054329,0.00033159493,0.002984722,0.000016957802,0.0027314844,0.0018552227,0.00016306137],"about_ca_topic_score_codex":0.00010612303,"about_ca_topic_score_gemma":0.00009795647,"teacher_disagreement_score":0.01735992,"about_ca_system_score_codex":0.0002941874,"about_ca_system_score_gemma":0.0000023229843,"threshold_uncertainty_score":0.48873195},"labels":[],"label_agreement":null},{"id":"W2005310541","doi":"10.1007/s11002-012-9176-3","title":"Novel versus familiar brands: An analysis of neurophysiology, response latency, and choice","year":2012,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Douglas Mental Health University Institute; Simon Fraser University","funders":"","keywords":"Ventromedial prefrontal cortex; Functional magnetic resonance imaging; Neurophysiology; Neuromarketing; Psychology; Latency (audio); Mood; Neuroscience; Prefrontal cortex; Cognitive psychology; Computer science; Social psychology; Cognition; Telecommunications","score_opus":0.036537876761309616,"score_gpt":0.2660638985658427,"score_spread":0.2295260218045331,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005310541","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":[0.9986791,0.000026430625,0.000054603304,0.0005553458,0.0004271888,0.00008267968,0.0000046339774,0.000056724806,0.00011327625],"genre_scores_gemma":[0.99878633,0.000009160969,0.00008758688,0.00087425404,0.0001526058,0.0000079455685,0.000036663812,0.000012774898,0.000032658183],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99911916,0.00008470492,0.0002357778,0.0002212434,0.00013452301,0.00020460982],"domain_scores_gemma":[0.9991858,0.00030656104,0.00017670613,0.00025303804,0.00005848146,0.000019439274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008573945,0.00011732205,0.00018271021,0.0004371121,0.00012400528,0.00008402368,0.00013349202,0.000040281706,0.00012701887],"category_scores_gemma":[0.00039923852,0.000118696364,0.00008038832,0.0005284713,0.00009085674,0.0006406389,0.00007196252,0.00008020293,0.00001716121],"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":[0.0016879631,0.000102956314,0.33990172,0.00004350106,0.00012796218,4.3477095e-7,0.00005966737,0.000021863802,0.6404038,0.000024360841,0.00021349406,0.01741225],"study_design_scores_gemma":[0.0006136748,0.000002190006,0.99266285,0.000008664281,0.00067232247,2.9679398e-7,0.00006892597,0.0026305115,0.000033941167,4.3510684e-7,0.0031746426,0.00013156475],"about_ca_topic_score_codex":0.0003916277,"about_ca_topic_score_gemma":0.000032008462,"teacher_disagreement_score":0.6527611,"about_ca_system_score_codex":0.000011053822,"about_ca_system_score_gemma":0.0000033699002,"threshold_uncertainty_score":0.4840297},"labels":[],"label_agreement":null},{"id":"W2008135572","doi":"10.1007/s11002-011-9146-1","title":"The long-term box office performance of sequel movies","year":2011,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Praxis Spinal Cord Institute; University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Attendance; Revenue; Franchise; Term (time); Economics; Demand side; Margin (machine learning); Advertising; Business; Marketing; Microeconomics; Computer science; Finance; Economic growth","score_opus":0.03165413719537442,"score_gpt":0.1973806132171517,"score_spread":0.16572647602177729,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008135572","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":[0.9737627,0.0016370544,0.00003548374,0.0010096856,0.00045315266,0.00008933629,0.0000069215944,0.00002019267,0.02298551],"genre_scores_gemma":[0.99719274,0.0008537524,0.00022143697,0.00048170047,0.000080852384,0.000014540175,0.0000014745355,0.0000128918555,0.0011406014],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99919605,0.000019863115,0.00034933438,0.00016922773,0.00003126618,0.00023425212],"domain_scores_gemma":[0.99928325,0.0002015903,0.00023822246,0.00023321249,0.000017357352,0.000026338284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000961579,0.00009796656,0.00019949705,0.00006089917,0.00015711207,0.000015315954,0.0001975881,0.000025719944,0.000090498186],"category_scores_gemma":[0.0002435429,0.000082713654,0.00007096487,0.000095371535,0.00013681863,0.00007162363,0.000073113464,0.00009048863,0.000075759825],"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":[0.00010803321,0.000018976198,0.9910254,0.000118667864,0.000057614543,0.0000029712885,0.0010558619,0.0000018110516,0.00023529297,0.0007875139,0.003813465,0.0027743785],"study_design_scores_gemma":[0.0001862708,0.000023325128,0.9925548,0.00004271737,0.0000060985244,0.0000023556074,0.00008951787,0.000037578553,0.00042276958,0.000025693174,0.0064858026,0.00012306924],"about_ca_topic_score_codex":0.000045332992,"about_ca_topic_score_gemma":0.000016065602,"teacher_disagreement_score":0.023430087,"about_ca_system_score_codex":0.000022550481,"about_ca_system_score_gemma":0.0000046061746,"threshold_uncertainty_score":0.33729652},"labels":[],"label_agreement":null},{"id":"W2009877080","doi":"10.1007/s11002-010-9114-1","title":"Detecting the impact of market factors on sales takeoff times of analog cellular telephones","year":2010,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","cited_by":9,"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 Guelph","funders":"","keywords":"Econometrics; Competitor analysis; Hazard; Parametric statistics; Hazard model; Takeoff; Accelerated failure time model; Economics; Statistics; Contrast (vision); Hazard analysis; Computer science; Covariate; Mathematics; Engineering","score_opus":0.0411127032533468,"score_gpt":0.3112461769684056,"score_spread":0.2701334737150588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009877080","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":[0.9910208,0.000006834665,0.00020958777,0.00059283007,0.00041140392,0.00012599769,0.000014185559,0.000027082464,0.007591252],"genre_scores_gemma":[0.9989245,5.526904e-7,0.00047383065,0.00019288999,0.000091286274,0.0000019467407,0.0000029370174,0.00001705455,0.0002950275],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9970668,0.0004950801,0.0008690205,0.0003221593,0.0009496767,0.0002972614],"domain_scores_gemma":[0.9910471,0.0071262536,0.0009201496,0.0005905521,0.0002647981,0.00005118801],"candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0090496885,0.00019560318,0.00032772106,0.00044777256,0.00024833975,0.00009951647,0.0007012338,0.00008193542,0.0023726567],"category_scores_gemma":[0.015017606,0.000106711515,0.00029017736,0.001100309,0.00026554946,0.00010403527,0.00012634558,0.00038403386,0.00001744357],"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":[0.00016512274,0.000043176,0.26561502,0.000010223093,0.000038163165,0.0000032240844,0.000696499,0.00026697875,0.6959964,0.00004863595,0.01707348,0.020043105],"study_design_scores_gemma":[0.0003884122,0.000097477234,0.92031115,0.000084526866,0.00001506405,0.0000075781145,0.0016432732,0.009365601,0.066302605,0.0002374072,0.001251853,0.00029506139],"about_ca_topic_score_codex":0.00009015071,"about_ca_topic_score_gemma":0.000013390835,"teacher_disagreement_score":0.6546961,"about_ca_system_score_codex":0.000017750863,"about_ca_system_score_gemma":0.000036796937,"threshold_uncertainty_score":0.9985393},"labels":[],"label_agreement":null},{"id":"W2015161696","doi":"10.1007/s11002-008-9037-2","title":"Competition between auctions","year":2008,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":49,"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":"Division of Chemistry","keywords":"Common value auction; Competition (biology); Forward auction; Auction theory; Microeconomics; Computer science; Industrial organization; Business; Economics","score_opus":0.11381602491514423,"score_gpt":0.34414256304016827,"score_spread":0.23032653812502404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015161696","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":[0.8998893,0.0000063428843,0.0724276,0.015197013,0.00020298544,0.00008913437,0.000011089118,0.00012353002,0.012053023],"genre_scores_gemma":[0.99453783,0.0000026378862,0.00166096,0.0012363378,0.00038133582,0.000016259288,0.000008690987,0.0000076087667,0.0021483535],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99831593,0.00040934884,0.00034357674,0.00029018908,0.0004801456,0.00016082419],"domain_scores_gemma":[0.9975573,0.0017862723,0.00014370668,0.00037095888,0.000071310074,0.00007045727],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0025198488,0.00007886517,0.00012303745,0.00015156738,0.00074954727,0.000056003013,0.00031476267,0.00003259404,0.0010407396],"category_scores_gemma":[0.0011212981,0.00006899923,0.00008633537,0.00056098617,0.00020407428,0.00016993252,0.00005014521,0.00012787865,0.0012695345],"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":[0.000089338784,0.00011875446,0.40626416,0.000008084129,0.00006181162,0.000023716824,0.0012767776,0.0011932196,0.024861664,0.016593229,0.497541,0.051968247],"study_design_scores_gemma":[0.00021255687,0.000008908844,0.6400711,0.000010785932,0.000011255448,0.00006218371,0.00031466148,0.0001253725,0.000665332,0.0060315426,0.3522713,0.00021502213],"about_ca_topic_score_codex":0.0000049818304,"about_ca_topic_score_gemma":8.067444e-7,"teacher_disagreement_score":0.23380695,"about_ca_system_score_codex":0.000025624935,"about_ca_system_score_gemma":0.0000123003065,"threshold_uncertainty_score":0.99987245},"labels":[],"label_agreement":null},{"id":"W2017330514","doi":"10.1007/s11002-012-9183-4","title":"Behavioral models of managerial decision-making","year":2012,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":75,"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 Toronto","funders":"","keywords":"Field (mathematics); Management science; Computer science; Consumer behaviour; Behavioral modeling; Marketing; Economics; Business; Artificial intelligence","score_opus":0.030149269436908127,"score_gpt":0.23438009193265066,"score_spread":0.20423082249574254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017330514","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":[0.9529147,0.00040074598,0.028679822,0.0001835227,0.0010864649,0.00009519078,0.000042079006,0.000027298778,0.016570156],"genre_scores_gemma":[0.99018145,0.00001753011,0.009059285,0.0003688459,0.00026071232,0.000007902792,0.000002975104,0.00002742493,0.00007386118],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99882376,0.000022845432,0.0005468458,0.00021821134,0.000026315345,0.00036204068],"domain_scores_gemma":[0.9991318,0.00019722452,0.00031737218,0.00028900837,0.000008157608,0.00005641907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016533012,0.000120840385,0.00030131516,0.00013942317,0.00006644364,0.00003231629,0.00020344155,0.000058095688,0.00041749177],"category_scores_gemma":[0.000080294805,0.00014793476,0.0001293089,0.00007310801,0.000051494815,0.0003771409,0.000106773245,0.00008659884,0.000065060616],"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":[0.00089056784,0.00044164763,0.18311484,0.00018601232,0.00020456899,0.000010205351,0.0044225794,0.010376701,0.0010739089,0.7304419,0.015113658,0.05372338],"study_design_scores_gemma":[0.008814102,0.00031233727,0.19877653,0.0014102078,0.0002309533,0.000089636975,0.0026369342,0.07834296,0.00088895945,0.53020054,0.17131484,0.0069819945],"about_ca_topic_score_codex":0.000047183574,"about_ca_topic_score_gemma":0.000001708406,"teacher_disagreement_score":0.20024137,"about_ca_system_score_codex":0.00006247877,"about_ca_system_score_gemma":0.0000031500529,"threshold_uncertainty_score":0.6032604},"labels":[],"label_agreement":null},{"id":"W2027648668","doi":"10.1007/s11002-014-9320-3","title":"Speaking to the mind or the heart: effects of matching hedonic versus utilitarian arguments and products","year":2014,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":127,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McGill University","keywords":"Product (mathematics); Argument (complex analysis); Matching (statistics); Psychology; Social psychology; Economics; Mathematics; Statistics","score_opus":0.018617417611441086,"score_gpt":0.2382992887965452,"score_spread":0.2196818711851041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027648668","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":[0.97823435,0.00004084689,0.00006066727,0.02014171,0.0009217854,0.00041421514,3.5052483e-7,0.000023446286,0.00016263516],"genre_scores_gemma":[0.99705815,0.000002368995,0.00012837698,0.0023543972,0.00031971897,0.0000255469,0.0000028526695,0.000013436324,0.000095166964],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99906343,0.000098679,0.00020247707,0.00024765014,0.00020059165,0.00018718834],"domain_scores_gemma":[0.9990222,0.0004721058,0.00012680264,0.0003237851,0.00004574005,0.0000093711815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015693773,0.000116041076,0.00011299776,0.000086235224,0.0003196293,0.00026751775,0.00021061246,0.00001971439,0.000055288703],"category_scores_gemma":[0.00081997266,0.000064206935,0.000030614483,0.0002391287,0.00005967196,0.0001995815,0.00014030302,0.00010220386,0.00006502073],"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":[0.0012573516,0.00008429082,0.05177837,0.0010976134,0.000093751005,0.0000039964684,0.0011931643,0.000025998994,0.07526432,0.00013270293,0.01734311,0.85172534],"study_design_scores_gemma":[0.000789023,0.0000058797996,0.87977916,0.00022127343,0.00013469366,0.0000021510587,0.00031337282,0.0002885501,0.00035574983,0.000012428382,0.11791895,0.00017875673],"about_ca_topic_score_codex":0.0002561232,"about_ca_topic_score_gemma":0.00014349601,"teacher_disagreement_score":0.8515466,"about_ca_system_score_codex":0.000013305994,"about_ca_system_score_gemma":0.0000056874405,"threshold_uncertainty_score":0.26182827},"labels":[],"label_agreement":null},{"id":"W2030550957","doi":"10.1007/s11002-012-9197-y","title":"The vulnerability of defensiveness: The impact of persuasion attempts and processing motivations on trust","year":2012,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Social and Intergroup Psychology","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Persuasion; Trustworthiness; Perception; Social psychology; Vulnerability (computing); Psychology; Advertising; Business; Computer science; Computer security","score_opus":0.03241055727695073,"score_gpt":0.35714826422108664,"score_spread":0.3247377069441359,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030550957","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":[0.9894456,0.000102636644,0.000018677953,0.0062870327,0.00014658597,0.0001182556,0.000001425301,0.000008943867,0.0038707964],"genre_scores_gemma":[0.99948615,0.000015175701,0.000016193566,0.0002893762,0.00015391514,0.000005644826,3.677799e-7,0.0000042858755,0.0000289014],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986168,0.0008093554,0.00014653493,0.00008415381,0.00014717667,0.00019595126],"domain_scores_gemma":[0.99828184,0.0013792499,0.00014402442,0.00010185201,0.00006304246,0.000029967063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028305969,0.000057595087,0.00008999836,0.000019844714,0.0006964804,0.00002002037,0.00012561555,0.000037881236,0.000020106281],"category_scores_gemma":[0.001577793,0.000030915093,0.00006832254,0.00014698459,0.0006444812,0.000078834724,0.000023288912,0.00009973388,6.422716e-7],"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":[0.00014296283,0.000058724087,0.9339666,0.000017009019,0.000025041736,7.335093e-8,0.026197642,0.000007652456,0.01145595,0.00033123154,0.0022744064,0.025522733],"study_design_scores_gemma":[0.00008100559,0.000020709094,0.99206805,0.000036515747,0.0000066218026,3.006152e-7,0.006923791,0.000016110247,0.00008056703,0.000059287227,0.00066699774,0.000040030103],"about_ca_topic_score_codex":0.0006907479,"about_ca_topic_score_gemma":0.000027475338,"teacher_disagreement_score":0.05810149,"about_ca_system_score_codex":0.000047872363,"about_ca_system_score_gemma":0.000021444333,"threshold_uncertainty_score":0.53568345},"labels":[],"label_agreement":null},{"id":"W2042296022","doi":"10.1007/s11002-013-9242-5","title":"Targeting Miss Daisy: Using age and gender to target unethical sales tactics","year":2013,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Ethics in Business and Education","field":"Decision Sciences","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Business; Marketing; Stereotype (UML); Advertising; Sales management; Contrast (vision); Sales force; Psychology; Social psychology; Computer science","score_opus":0.2013140743644679,"score_gpt":0.394199833427575,"score_spread":0.19288575906310707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042296022","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":[0.9447141,0.000101077676,0.019181777,0.03424276,0.0008513641,0.00018665158,0.000002281304,0.000043547916,0.00067638105],"genre_scores_gemma":[0.8957954,0.000009174516,0.09337491,0.010242016,0.00039714779,0.000010001947,0.0000051760303,0.000025550406,0.00014062774],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99693716,0.00064480474,0.0005293894,0.000554935,0.0009169611,0.00041677261],"domain_scores_gemma":[0.9933752,0.005548456,0.00019701596,0.00038067042,0.00030417307,0.00019449843],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0082643125,0.00017573619,0.00022612975,0.00021698681,0.00043292277,0.00090097374,0.00038585253,0.00013781007,0.00034648392],"category_scores_gemma":[0.021639029,0.00014629035,0.000047094596,0.00050543813,0.00016330292,0.00033121192,0.00023800267,0.00042130955,0.00013286441],"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":[0.00012145383,0.00012522942,0.23536155,0.00028758662,0.00007566054,0.00015791664,0.015985673,0.012683704,0.41158175,0.0009917663,0.3039244,0.018703287],"study_design_scores_gemma":[0.00065834227,0.00003357454,0.80893785,0.00032013276,0.00006378452,0.00010913998,0.008860743,0.056277007,0.00057818816,0.040109046,0.0822723,0.0017799026],"about_ca_topic_score_codex":0.00013140346,"about_ca_topic_score_gemma":0.000004216266,"teacher_disagreement_score":0.5735763,"about_ca_system_score_codex":0.000055187276,"about_ca_system_score_gemma":0.000057626083,"threshold_uncertainty_score":0.9866021},"labels":[],"label_agreement":null},{"id":"W2050145907","doi":"10.1007/s11002-007-9022-1","title":"Demand and distribution relationships in the ready-to-drink iced tea market: A graphical approach","year":2007,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Concordia University; Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Econometrics; Distribution (mathematics); Market share; Lag; Promotion (chess); Econometric model; Economics; Computer science; Marketing; Business; Mathematics","score_opus":0.020819464810454155,"score_gpt":0.19580712379266108,"score_spread":0.17498765898220692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050145907","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":[0.94037384,0.00035671063,0.0040398915,0.013587769,0.00010984321,0.00038956897,0.000040525392,0.00003159554,0.041070286],"genre_scores_gemma":[0.9952554,0.000049621034,0.0011824572,0.0031923393,0.0001300528,0.000029279687,0.00006254311,0.000013901121,0.00008441736],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99837106,0.00014760661,0.00057811156,0.0004572209,0.00004630828,0.0003997065],"domain_scores_gemma":[0.99868137,0.0007710956,0.00018221671,0.00026000894,0.000012317384,0.0000929995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0099891275,0.00016958475,0.00024951063,0.00019615793,0.00021736349,0.00012498703,0.00023474958,0.00012829242,0.000012260652],"category_scores_gemma":[0.0005982926,0.00014986558,0.00006691382,0.0003828628,0.000063552645,0.00015343887,0.00006268533,0.00042043833,0.000020109223],"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":[0.00043395866,0.0001562568,0.8757758,0.000082404156,0.000066049084,0.000019817116,0.0013101628,0.000043130847,0.00023816538,0.026682062,0.09401418,0.0011779969],"study_design_scores_gemma":[0.00035872034,0.000018132092,0.9687451,0.000017995351,0.000006303696,0.000019242563,0.0002201808,0.00022071693,0.0000033750048,0.0006563144,0.029501908,0.00023202114],"about_ca_topic_score_codex":0.000052422565,"about_ca_topic_score_gemma":0.000061766514,"teacher_disagreement_score":0.09296928,"about_ca_system_score_codex":0.00007488923,"about_ca_system_score_gemma":0.0000026974,"threshold_uncertainty_score":0.6111341},"labels":[],"label_agreement":null},{"id":"W2056071392","doi":"10.1007/s11002-012-9221-2","title":"Do sustainable products make us prevention focused?","year":2012,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":51,"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 Manitoba","funders":"","keywords":"Sustainability; Promotion (chess); Regulatory focus theory; Business; Marketing; Product (mathematics); Public relations; Economics; Management; Political science","score_opus":0.041870373818674075,"score_gpt":0.3503454809327174,"score_spread":0.3084751071140433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056071392","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":[0.97567606,0.0006350806,0.000117694755,0.0041290163,0.001578713,0.0004426571,0.000002798382,0.00012090207,0.017297097],"genre_scores_gemma":[0.96965206,0.000002298434,0.00087002775,0.0013937938,0.0006001004,0.00013816726,0.00001570026,0.000032255397,0.027295582],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99787056,0.00053084624,0.00029618232,0.00026779005,0.00014414024,0.00089045643],"domain_scores_gemma":[0.9992389,0.00006509812,0.00012738605,0.00036987077,0.000058579277,0.00014017908],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0021579321,0.00013464183,0.00012943115,0.00011831441,0.0001915288,0.000041519826,0.00014038233,0.00007869186,0.0020087706],"category_scores_gemma":[0.00016128668,0.00013623832,0.000099461664,0.00023273446,0.000042211715,0.00016850042,0.000055091466,0.00022831836,0.00040666803],"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":[0.00040157948,0.00087302906,0.41932276,0.00036511442,0.000053343283,0.000042940614,0.0014320968,8.413028e-7,0.0012575405,0.0019452204,0.3995092,0.17479633],"study_design_scores_gemma":[0.00049950875,0.00007367178,0.71159405,0.000076157514,0.000037991005,0.000021468935,0.000564964,0.0000010327108,0.000091299175,0.000016546426,0.2868173,0.00020604009],"about_ca_topic_score_codex":0.00019955607,"about_ca_topic_score_gemma":0.0000033896795,"teacher_disagreement_score":0.29227126,"about_ca_system_score_codex":0.00010154215,"about_ca_system_score_gemma":0.000016538648,"threshold_uncertainty_score":0.9989035},"labels":[],"label_agreement":null},{"id":"W2060637765","doi":"10.1007/s11002-008-9060-3","title":"Discrete choice models of firms’ strategic decisions","year":2008,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":28,"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 Toronto","funders":"","keywords":"Competitor analysis; Key (lock); Discrete choice; Product (mathematics); Position (finance); Computer science; Service (business); Space (punctuation); Marketing; Business; Microeconomics; Industrial organization; Management science; Economics","score_opus":0.05660122502758939,"score_gpt":0.24530834834891932,"score_spread":0.18870712332132994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060637765","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":[0.9693914,0.000069912894,0.00056461536,0.00096902315,0.00023562176,0.00013868378,0.0000025035943,0.0001035965,0.02852462],"genre_scores_gemma":[0.9975419,0.00001803162,0.00050464744,0.0014433303,0.00029338343,0.0000095465875,0.000013352961,0.0000312102,0.00014460999],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986391,0.00004142668,0.00036743507,0.0002932242,0.00032471653,0.00033406395],"domain_scores_gemma":[0.9987934,0.0005765175,0.00021810403,0.00031983023,0.00007471065,0.00001741666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007651585,0.00019176488,0.00023850324,0.00024078666,0.0002768211,0.000084109495,0.0003055245,0.000048128204,0.00029619128],"category_scores_gemma":[0.00028702815,0.00018098728,0.00013836358,0.00043857712,0.000100129444,0.00063407264,0.00017756462,0.0001732013,0.000034570745],"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":[0.00038989968,0.00014484428,0.92713684,0.00032264928,0.00009656449,0.0001754209,0.00019958185,0.0017088737,0.027128,0.0009230862,0.020680707,0.021093544],"study_design_scores_gemma":[0.0015272656,0.000009524392,0.94978845,0.0005407241,0.00024266924,0.000030119887,0.00028738086,0.031628866,0.000097216885,0.00096725475,0.013839876,0.0010406293],"about_ca_topic_score_codex":0.0007497767,"about_ca_topic_score_gemma":0.000045759694,"teacher_disagreement_score":0.029919991,"about_ca_system_score_codex":0.000014749976,"about_ca_system_score_gemma":0.000014705455,"threshold_uncertainty_score":0.73804474},"labels":[],"label_agreement":null},{"id":"W2062814083","doi":"10.1007/s11002-008-9035-4","title":"Choice under restrictions","year":2008,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":79,"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":"Situational ethics; Computer science; Management science; Conceptual framework; Conceptual model; Knowledge management; Social psychology; Psychology; Economics; Epistemology","score_opus":0.1015465412070929,"score_gpt":0.2019101994772998,"score_spread":0.10036365827020689,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062814083","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":[0.96833557,0.00014222645,0.0021301948,0.0036135989,0.0002674674,0.00006415364,0.000007989525,0.000040815245,0.025397986],"genre_scores_gemma":[0.994638,0.00009158233,0.0007899567,0.002804984,0.0001401348,0.000012246097,0.000009810555,0.000015835001,0.0014974218],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99929357,0.00002134358,0.0002660034,0.00023120135,0.000018898438,0.00016900168],"domain_scores_gemma":[0.99955934,0.000108328655,0.00012395895,0.0001678333,0.0000018396194,0.00003871597],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00041990064,0.000076839875,0.00011636,0.00008603349,0.00019136137,0.000015517191,0.000086971384,0.000035625395,0.00072937313],"category_scores_gemma":[0.00008541625,0.0001010027,0.000058400856,0.000078682984,0.00005312854,0.00013352525,0.000027999678,0.00008616235,0.0012819115],"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":[0.0000037982968,0.000020071933,0.9795762,0.000003552151,0.000016674638,0.0000016687338,0.00006497714,0.0009999768,0.00019553973,0.0014273451,0.0175669,0.00012331226],"study_design_scores_gemma":[0.00020433903,0.0000048965017,0.97450626,0.0000032155258,0.0000017603047,0.0000068607637,0.000017343276,0.00041386008,0.00001233354,0.00022573871,0.02448206,0.00012130589],"about_ca_topic_score_codex":0.00016978759,"about_ca_topic_score_gemma":0.0000043787245,"teacher_disagreement_score":0.026302462,"about_ca_system_score_codex":0.00013731934,"about_ca_system_score_gemma":0.00000295506,"threshold_uncertainty_score":0.9994957},"labels":[],"label_agreement":null},{"id":"W2065929573","doi":"10.1007/s11002-008-9038-1","title":"Behavioral frontiers in choice modeling","year":2008,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":55,"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":"Heuristic; Computer science; Diversity (politics); Estimation; Behavioral modeling; Management science; Artificial intelligence; Economics; Engineering; Systems engineering","score_opus":0.10611961916146594,"score_gpt":0.2099207263877127,"score_spread":0.10380110722624676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065929573","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":[0.9903035,0.00024183051,0.0060251905,0.0006276905,0.0003816081,0.00008253119,0.0000057938873,0.00002075757,0.0023110681],"genre_scores_gemma":[0.9950485,0.00006846601,0.0038539802,0.00075189146,0.0000718773,0.000013741484,0.000010800114,0.000017713803,0.00016298557],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991058,0.00002213329,0.00036744232,0.00026913566,0.000020761678,0.00021470872],"domain_scores_gemma":[0.9997039,0.000023401562,0.00009994142,0.0001375924,0.0000013860099,0.000033798973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063058204,0.0000907327,0.00017806693,0.0001439882,0.00007747006,0.00001386822,0.00010401104,0.000043456792,0.00014978761],"category_scores_gemma":[0.00004088751,0.00012620281,0.000054238764,0.0000698108,0.000033975164,0.00018101909,0.000029564013,0.000110311405,0.00014782605],"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":[0.0000074967925,0.000023796616,0.98876274,0.000004061388,0.0000044632507,0.000003882097,0.00017549355,0.008546678,0.000049795803,0.000027241731,0.0020463562,0.0003479895],"study_design_scores_gemma":[0.0005813865,0.000008840324,0.8829507,0.000012348388,0.0000022543431,0.0000041663925,0.00007866407,0.114097826,0.000008858145,0.0001729505,0.0018280598,0.00025392557],"about_ca_topic_score_codex":0.000334942,"about_ca_topic_score_gemma":0.000008428486,"teacher_disagreement_score":0.10581202,"about_ca_system_score_codex":0.00020731089,"about_ca_system_score_gemma":0.0000027358813,"threshold_uncertainty_score":0.5146401},"labels":[],"label_agreement":null},{"id":"W2066879210","doi":"10.1023/b:mark.0000012474.56171.e9","title":"An Easily Implemented Framework for Forecasting Ticket Sales to Performing Arts Events","year":2003,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Art History and Market Analysis","field":"Arts and Humanities","cited_by":22,"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 British Columbia","funders":"","keywords":"Ticket; Entertainment; Sample (material); Marketing; Computer science; Entertainment industry; Business; Sales management; Advertising; Computer security","score_opus":0.05752299777540908,"score_gpt":0.27269601841590974,"score_spread":0.21517302064050065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066879210","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":[0.9688921,0.000029413202,0.019676337,0.0013206436,0.00072800287,0.0004524702,0.000024170879,0.00013672402,0.008740133],"genre_scores_gemma":[0.97164345,0.0000011514778,0.021309188,0.005309091,0.0006113097,0.000093809715,0.000039880942,0.000051735966,0.0009403989],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983678,0.00021546209,0.00034637458,0.00036176236,0.00019630668,0.0005123274],"domain_scores_gemma":[0.9986321,0.0007427161,0.00014094688,0.0002674736,0.000074811025,0.0001419972],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018938736,0.00021467876,0.00023456759,0.00018055034,0.0011443677,0.00011590583,0.00018222399,0.000038205326,0.0010739301],"category_scores_gemma":[0.0011248664,0.00021480996,0.00016417373,0.00006417146,0.000045547236,0.00025002437,0.000029022627,0.00013255439,0.000029909308],"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":[0.0035526496,0.000788133,0.096324414,0.0013821609,0.0015029646,0.00008976245,0.17248146,0.0005780006,0.013154053,0.14263006,0.3995623,0.16795406],"study_design_scores_gemma":[0.00044490903,0.0002182827,0.00056016044,0.00026479104,0.00017689518,0.000005286096,0.0061721257,0.0011934268,0.00032025052,0.0008471079,0.98913336,0.00066342234],"about_ca_topic_score_codex":0.00002375453,"about_ca_topic_score_gemma":0.00020063527,"teacher_disagreement_score":0.58957106,"about_ca_system_score_codex":0.000083941864,"about_ca_system_score_gemma":0.000018865789,"threshold_uncertainty_score":0.99983925},"labels":[],"label_agreement":null},{"id":"W2079202679","doi":"10.1007/s11002-010-9125-y","title":"When the decision ball keeps rolling: An investigation of the Sisyphus effect among maximizing consumers","year":2010,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Regret; Satisficing; Purchasing; Generalizability theory; Economics; Value (mathematics); Probabilistic logic; Maximization; Marketing; Rationality; Phenomenon; Psychology; Microeconomics; Business; Computer science; Political science; Epistemology","score_opus":0.011120474654161158,"score_gpt":0.21187230459087988,"score_spread":0.20075182993671872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079202679","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":[0.9905947,0.000013669576,0.00006610929,0.007245695,0.00087918446,0.0003410246,9.4149306e-7,0.000078760386,0.0007799403],"genre_scores_gemma":[0.98972946,7.235487e-7,0.00031639414,0.009472513,0.00041355955,0.000014307067,0.00000877184,0.000027246022,0.000016998642],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998391,0.00024565135,0.00036769616,0.0002915593,0.0004220731,0.0002820227],"domain_scores_gemma":[0.99787325,0.0010264821,0.00042230816,0.000577621,0.000080479556,0.000019841893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005338346,0.00019431055,0.00019623978,0.000110531735,0.0004806243,0.00030604642,0.0006723595,0.00008967748,0.000110120716],"category_scores_gemma":[0.0007981087,0.000121852325,0.00013575034,0.0003624239,0.00025960297,0.00061094016,0.000224424,0.00046506096,0.000021724318],"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":[0.00016323499,0.0000148902345,0.9519071,0.00023622648,0.0000336994,0.000002063285,0.0005223262,0.00019809426,0.032281566,0.00013105689,0.002464334,0.012045439],"study_design_scores_gemma":[0.0005758929,0.0000054906336,0.9844045,0.0002084669,0.0001301817,0.0000016189949,0.00031851055,0.0077618724,0.00083762506,0.0003575107,0.0051407986,0.0002575039],"about_ca_topic_score_codex":0.0016184091,"about_ca_topic_score_gemma":0.0012471861,"teacher_disagreement_score":0.03249746,"about_ca_system_score_codex":0.0000150560745,"about_ca_system_score_gemma":0.000011371287,"threshold_uncertainty_score":0.49689937},"labels":[],"label_agreement":null},{"id":"W2079280436","doi":"10.1007/s11002-013-9257-y","title":"The effects of perceived product-extrinsic cue incongruity on consumption experiences: The case of celebrity sponsorship","year":2013,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University; University of British Columbia; Queen's University","funders":"","keywords":"Schema (genetic algorithms); Product (mathematics); Psychology; Consumption (sociology); Product category; Advertising; Taste; Marketing; Business; Social psychology; Mathematics; Computer science","score_opus":0.016479500985149147,"score_gpt":0.23027960498079952,"score_spread":0.2138001039956504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079280436","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":[0.9965068,0.000082506594,0.000004046481,0.001845324,0.00063262304,0.00074544275,6.7905677e-7,0.00004174663,0.0001408276],"genre_scores_gemma":[0.9990231,0.000021288623,0.000010112115,0.00051827746,0.00012418533,0.00019834192,0.0000036162462,0.00001121617,0.00008988184],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9986852,0.00029993575,0.0003616188,0.00025044457,0.00020494845,0.00019786597],"domain_scores_gemma":[0.9976643,0.0013292659,0.00037485946,0.00045660578,0.00016409499,0.000010887374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018463302,0.00014168903,0.000148199,0.00010174935,0.00046978297,0.00021874205,0.0002877492,0.000031858366,0.00022162157],"category_scores_gemma":[0.0015861264,0.000091495676,0.00008949988,0.00021222795,0.00036603137,0.00031914533,0.00008275807,0.00015756887,0.00008432],"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":[0.00085491885,0.0003636101,0.27845916,0.0021442168,0.000100452766,0.000055541055,0.0025287997,0.000006120484,0.26074317,0.00061882933,0.01737588,0.43674928],"study_design_scores_gemma":[0.00031642674,0.000003103945,0.99571365,0.00012136872,0.00005758151,0.00001190074,0.0010906545,0.00017888169,0.0012005843,0.000016617869,0.0011600986,0.00012913889],"about_ca_topic_score_codex":0.0010938065,"about_ca_topic_score_gemma":0.0001141443,"teacher_disagreement_score":0.71725446,"about_ca_system_score_codex":0.000021987229,"about_ca_system_score_gemma":0.00000902595,"threshold_uncertainty_score":0.37310854},"labels":[],"label_agreement":null},{"id":"W2091125717","doi":"10.1007/s11002-013-9243-4","title":"Are maximizers blind to the future? When today’s best does not make for a better tomorrow","year":2013,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Psychological and Temporal Perspectives Research","field":"Psychology","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Regret; Satisficing; Task (project management); Feeling; Human multitasking; Probabilistic logic; Psychology; Set (abstract data type); Sample (material); Economics; Marketing; Social psychology; Microeconomics; Computer science; Cognitive psychology; Business","score_opus":0.04554305700512555,"score_gpt":0.32539491828673617,"score_spread":0.2798518612816106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091125717","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":[0.60119915,0.000058718404,0.00024863327,0.38948202,0.0011548749,0.0011655539,0.000042029995,0.000065660795,0.006583365],"genre_scores_gemma":[0.8322372,0.000005097578,0.004252231,0.14002609,0.003706672,0.0018772007,0.000014920033,0.00008273227,0.017797858],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.997194,0.0005320661,0.00031384293,0.0007569656,0.000342941,0.00086016743],"domain_scores_gemma":[0.99807984,0.0007868531,0.00015265813,0.0006733777,0.000103817634,0.00020344924],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012687392,0.0002786912,0.00028461247,0.00014178122,0.00029908994,0.0002246476,0.0007439332,0.00014658239,0.0048859715],"category_scores_gemma":[0.00030791175,0.0001552225,0.00021508062,0.0002069033,0.00015678926,0.00007600474,0.00016009397,0.0004590474,0.001457421],"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":[0.0019110006,0.00018790322,0.018483298,0.000037075806,0.00016409095,0.000052816536,0.0016153577,0.0000027623862,0.006645994,0.00008199015,0.89711225,0.073705435],"study_design_scores_gemma":[0.0024658216,0.00018346669,0.4566986,0.00006885311,0.00003354329,0.000020048219,0.006233925,0.000028612623,0.00017680596,0.00083347113,0.5326201,0.00063679484],"about_ca_topic_score_codex":0.00019387132,"about_ca_topic_score_gemma":0.000100955745,"teacher_disagreement_score":0.4382153,"about_ca_system_score_codex":0.00006617225,"about_ca_system_score_gemma":0.00000604945,"threshold_uncertainty_score":0.99932003},"labels":[],"label_agreement":null},{"id":"W2103476300","doi":"10.1023/b:mark.0000047386.33282.51","title":"Technology Newness and Impact of Go/No-Go Criteria on New Product Success","year":2004,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"New product development; Business; Product (mathematics); Marketing; Process (computing); Critical success factor; Technology development; Product innovation; Process management; Computer science; Engineering","score_opus":0.04792444398300535,"score_gpt":0.35381223975863246,"score_spread":0.30588779577562714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103476300","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":[0.9816411,0.000023112616,0.0007681726,0.014528539,0.00038981397,0.00014502484,0.000004071709,0.000060893446,0.0024392675],"genre_scores_gemma":[0.99588805,0.0000018819334,0.0023185513,0.001156497,0.00015822801,0.0000027495003,0.000001938159,0.000014630408,0.00045748075],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9979205,0.00013822719,0.00059279986,0.00048058733,0.0005698728,0.00029799045],"domain_scores_gemma":[0.998282,0.00058102235,0.00035965658,0.00044882196,0.00025713615,0.00007136173],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0030814447,0.00016848318,0.00028458313,0.00069236616,0.00013971151,0.00015992708,0.00043326485,0.000069495945,0.00038683158],"category_scores_gemma":[0.010228278,0.00012202237,0.00007604732,0.0014432399,0.00017269579,0.00017249945,0.00015667632,0.0001893033,0.000077554025],"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":[0.0007768437,0.00012775087,0.26832458,0.00004836405,0.00004601298,0.000040694773,0.0007336965,0.0008902336,0.32671475,0.000779363,0.060777906,0.34073982],"study_design_scores_gemma":[0.00379067,0.0004485023,0.9527393,0.0006477243,0.00002298216,0.00014376386,0.00037057727,0.0013379033,0.020381337,0.0052265655,0.0139412675,0.00094940735],"about_ca_topic_score_codex":0.00008323676,"about_ca_topic_score_gemma":0.000005258117,"teacher_disagreement_score":0.68441474,"about_ca_system_score_codex":0.000056527337,"about_ca_system_score_gemma":0.000076175595,"threshold_uncertainty_score":0.998109},"labels":[],"label_agreement":null},{"id":"W2104207721","doi":"10.1007/s11002-005-5901-5","title":"Economics, Psychology, and Social Dynamics of Consumer Bidding in Auctions","year":2005,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":53,"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":"Bidding; Common value auction; Dynamics (music); Microeconomics; Consumer behaviour; Economics; Game theory; Marketing; Business; Sociology","score_opus":0.04959571275015467,"score_gpt":0.35852846498692204,"score_spread":0.30893275223676736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104207721","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":[0.9574403,0.000020563964,0.0026422953,0.037554685,0.000092695715,0.000058166635,0.000012873652,0.000013231123,0.0021651867],"genre_scores_gemma":[0.9965192,0.000016253378,0.0017810228,0.0014542511,0.00007113319,0.000006860408,0.0000023615178,0.0000049752693,0.00014396352],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9990348,0.00019163455,0.00036465345,0.00022157739,0.00007535614,0.0001119817],"domain_scores_gemma":[0.99892366,0.00072126597,0.00016747077,0.00014515848,0.000022680459,0.000019779993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002529557,0.00005645174,0.0001232873,0.00019227495,0.00013158715,0.000032254433,0.0001582458,0.000041012834,0.000159437],"category_scores_gemma":[0.00028881445,0.00005583061,0.000036421327,0.00019318445,0.00024861575,0.000110305475,0.000042827953,0.00009797783,0.000028144961],"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":[0.00018627549,0.00013889947,0.14351425,0.00001213987,0.000039916034,0.0000011579328,0.0016418017,0.001859666,0.0065350966,0.032892395,0.031755645,0.78142273],"study_design_scores_gemma":[0.0017932409,0.000019236817,0.6254165,0.000034081993,0.000032634478,0.00005396144,0.004314329,0.028900687,0.000321535,0.030789109,0.30768654,0.000638127],"about_ca_topic_score_codex":0.0000062605677,"about_ca_topic_score_gemma":0.0000742431,"teacher_disagreement_score":0.78078467,"about_ca_system_score_codex":0.000029572677,"about_ca_system_score_gemma":0.0000070129277,"threshold_uncertainty_score":0.22767061},"labels":[],"label_agreement":null},{"id":"W2110665505","doi":"10.1007/s11002-005-5902-4","title":"The Firm's Management of Social Interactions","year":2005,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":597,"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 Toronto","funders":"","keywords":"Moderation; Set (abstract data type); Word of mouth; Psychology; Social psychology; Principal (computer security); Order (exchange); Marketing; Business; Computer science","score_opus":0.011980494005863,"score_gpt":0.285324387389997,"score_spread":0.273343893384134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110665505","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":[0.45276278,0.00003902651,0.00001872003,0.055379223,0.0005576757,0.00012115105,0.0000017624637,0.00006994968,0.4910497],"genre_scores_gemma":[0.9917448,0.00004413541,0.00036895773,0.0006005383,0.00061992585,0.000015501808,0.0000010711145,0.000008868496,0.0065962146],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986704,0.00041811742,0.0001890646,0.00011326862,0.00032565166,0.00028349177],"domain_scores_gemma":[0.99878854,0.0009397487,0.00010876858,0.000086611275,0.000034714954,0.00004159537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00256053,0.00006592914,0.000081406426,0.000026857482,0.0010783015,0.00010678912,0.00024943787,0.000025684343,0.000079994126],"category_scores_gemma":[0.0003926841,0.000056756882,0.00008980322,0.00017763654,0.0003208691,0.00011182458,0.00005287166,0.0001072062,0.000025726058],"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":[0.00014841525,0.00008044448,0.0032554213,0.000049057322,0.00014438083,0.000006382963,0.019379782,0.000008105533,0.00022667144,0.017226908,0.1793507,0.7801237],"study_design_scores_gemma":[0.00010364435,0.000002364893,0.02463756,0.000042426578,0.000014464089,1.6018596e-7,0.009430115,0.000008726446,0.000007918506,0.000055090713,0.9656123,0.00008523782],"about_ca_topic_score_codex":0.000066911736,"about_ca_topic_score_gemma":0.0001811144,"teacher_disagreement_score":0.7862616,"about_ca_system_score_codex":0.0000923063,"about_ca_system_score_gemma":0.000016499745,"threshold_uncertainty_score":0.82935315},"labels":[],"label_agreement":null},{"id":"W2117004901","doi":"10.1023/a:1027400918494","title":"An Empirical Analysis of Follower Entry Timing Decisions","year":2003,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Business","score_opus":0.11694384563090279,"score_gpt":0.395120015740106,"score_spread":0.27817617010920326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117004901","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":[0.9529884,0.0000086724485,0.031623572,0.0009143351,0.0002834242,0.000058385736,0.0000050110652,0.000031418112,0.014086821],"genre_scores_gemma":[0.984321,8.8469136e-7,0.011642891,0.0035824627,0.000028528319,0.0000025761533,0.0000064890446,0.000010540377,0.00040461487],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961485,0.0008617955,0.00096057396,0.00047144873,0.0012658627,0.0002917627],"domain_scores_gemma":[0.99409014,0.0044831317,0.00039884652,0.0006443146,0.0002752181,0.00010836104],"candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.010670332,0.00013453279,0.0003723928,0.0012864106,0.00022739946,0.00015666893,0.0004701465,0.00006800145,0.002730599],"category_scores_gemma":[0.022220057,0.00010544083,0.00027836225,0.0048987046,0.00008238286,0.00018222853,0.00006108427,0.00015030477,0.00003942126],"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":[0.000094737334,0.00016378041,0.8818188,0.000002196055,0.00021433855,0.000021390171,0.0010500653,0.0042365375,0.025653638,0.00038297832,0.034874223,0.051487334],"study_design_scores_gemma":[0.000886787,0.00004886476,0.82698786,0.00006287849,0.00039194076,0.000011453898,0.0028645496,0.11402239,0.0013454312,0.00038413858,0.052383672,0.0006100324],"about_ca_topic_score_codex":0.0000045025845,"about_ca_topic_score_gemma":0.0000069466228,"teacher_disagreement_score":0.109785855,"about_ca_system_score_codex":0.000028833907,"about_ca_system_score_gemma":0.000031434025,"threshold_uncertainty_score":0.99818105},"labels":[],"label_agreement":null},{"id":"W2120474578","doi":"10.1007/s11002-008-9044-3","title":"How behavioral decision research can enhance consumer welfare: From freedom of choice to paternalistic intervention","year":2008,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":80,"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 Toronto","funders":"","keywords":"Paternalism; Scope (computer science); Psychological intervention; Intervention (counseling); Freedom of choice; Public economics; Welfare; Psychology; Behavioral economics; Economics; Social psychology; Microeconomics; Computer science","score_opus":0.1384517389363004,"score_gpt":0.2897856775105387,"score_spread":0.1513339385742383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120474578","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":[0.99074644,0.00017752443,0.0033996778,0.0048766667,0.00029573217,0.00018223545,0.00014765491,0.00001304632,0.00016100545],"genre_scores_gemma":[0.9969352,0.000037319445,0.0024268702,0.0002646729,0.000096482254,0.000023988126,0.000041536317,0.00002181911,0.00015210245],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987194,0.00009380756,0.00045826254,0.0004070869,0.00008649824,0.0002349339],"domain_scores_gemma":[0.9991735,0.00023245339,0.00023396482,0.0002553437,0.000016840177,0.00008787643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010594898,0.00011154011,0.0002481957,0.00015352447,0.00013530541,0.00004798436,0.00022854703,0.000054473803,0.000392884],"category_scores_gemma":[0.000452941,0.00013935281,0.00009132535,0.00013013353,0.00011192461,0.00013414487,0.00011432486,0.0001592509,0.00015677146],"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":[0.00008474851,0.00007083001,0.9883043,0.000016633801,0.00002352086,0.000006540224,0.00042523415,0.00010945518,0.0033177664,0.00007744506,0.0032592714,0.0043042344],"study_design_scores_gemma":[0.00045444697,0.000056029963,0.9918285,0.000050097115,0.0000052305836,0.0000011875192,0.00009389124,0.00032733183,0.0007233429,0.0000984018,0.006191523,0.00017000406],"about_ca_topic_score_codex":0.004721991,"about_ca_topic_score_gemma":0.00022808505,"teacher_disagreement_score":0.0061887526,"about_ca_system_score_codex":0.00020360154,"about_ca_system_score_gemma":0.0000033580725,"threshold_uncertainty_score":0.7138269},"labels":[],"label_agreement":null},{"id":"W2122822397","doi":"10.1023/a:1020254301302","title":"Hybrid Choice Models: Progress and Challenges","year":2002,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":775,"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 Manitoba; Université Laval","funders":"","keywords":"Computer science; Context (archaeology); Latent variable; Discrete choice; Process (computing); Perception; Segmentation; Econometrics; Artificial intelligence; Machine learning; Psychology; Economics","score_opus":0.14852579386048126,"score_gpt":0.19262072004864406,"score_spread":0.0440949261881628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122822397","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":[0.9540184,0.01651546,0.00015380153,0.011498931,0.000120914796,0.000105401574,0.000009479214,0.000036087407,0.017541485],"genre_scores_gemma":[0.9943382,0.0036349497,0.00072633545,0.00092482293,0.00009266428,0.000021803187,0.0000032589328,0.000018744846,0.00023921866],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923974,0.000022995751,0.00023145582,0.00030413212,0.00001889573,0.00018276263],"domain_scores_gemma":[0.99961865,0.000069478265,0.00012341831,0.00014406416,0.0000015567418,0.000042836935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005929989,0.000096515876,0.00014764808,0.000061941166,0.000073620104,0.000039750208,0.00007962961,0.000026239255,0.00033452737],"category_scores_gemma":[0.000036066755,0.00012101309,0.00003361271,0.000017675626,0.000062619416,0.00021654398,0.00004432034,0.00006649991,0.0002178826],"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":[0.000023730927,0.00017894471,0.77610403,0.00029770928,0.00014196496,0.000012318507,0.0014272437,0.0008359055,0.00005902291,0.013931141,0.014070679,0.1929173],"study_design_scores_gemma":[0.0009983695,0.000036775262,0.76787263,0.000051257743,0.000010634298,0.000017238808,0.00009313911,0.16193874,0.000020345204,0.0031732777,0.065161735,0.0006258634],"about_ca_topic_score_codex":0.00001372329,"about_ca_topic_score_gemma":0.0000011571765,"teacher_disagreement_score":0.19229144,"about_ca_system_score_codex":0.000052731266,"about_ca_system_score_gemma":3.3578075e-7,"threshold_uncertainty_score":0.49347705},"labels":[],"label_agreement":null},{"id":"W2128375494","doi":"10.1007/s11002-005-5886-0","title":"Recent Advances in Structural Econometric Modeling: Dynamics, Product Positioning and Entry","year":2005,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":30,"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 Toronto","funders":"","keywords":"Competition (biology); Industrial organization; Product (mathematics); New product development; Econometric model; Session (web analytics); Consumer behaviour; Marketing; Dynamics (music); Product line; Economics; Business; Econometrics","score_opus":0.009456650302437336,"score_gpt":0.21782995352332585,"score_spread":0.2083733032208885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128375494","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":[0.98373646,0.0035317943,0.00008679764,0.00632354,0.0002526675,0.00016507761,0.0000011696101,0.000069794434,0.005832705],"genre_scores_gemma":[0.99674374,0.00052099896,0.00048479406,0.0016665931,0.00050217716,0.000008967076,0.000025160072,0.00002126787,0.000026277525],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988724,0.00003147628,0.0002939776,0.00035947605,0.00012387577,0.00031877836],"domain_scores_gemma":[0.99961835,0.00008159325,0.00011573167,0.00013666958,0.00003480538,0.0000128470765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008373505,0.00016658683,0.00016451489,0.00051854836,0.0001634282,0.00026683704,0.000119925215,0.000026828895,0.00014405139],"category_scores_gemma":[0.00020898198,0.00017631945,0.000031855492,0.0004899365,0.000029467301,0.0012283612,0.000120183366,0.000183306,0.000009087484],"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":[0.000066395034,0.000009674502,0.4027221,0.00008389784,0.0000049688542,0.0000051230422,0.000025962605,0.0038119538,0.00010270412,0.00005593481,0.0000968869,0.5930144],"study_design_scores_gemma":[0.00078691513,0.0000025542329,0.28035277,0.00017052676,0.000050152055,0.000011777984,0.00017864803,0.6944804,0.00000823963,0.00007585563,0.02332398,0.00055814517],"about_ca_topic_score_codex":0.00008171483,"about_ca_topic_score_gemma":0.00024793594,"teacher_disagreement_score":0.69066846,"about_ca_system_score_codex":0.00009710469,"about_ca_system_score_gemma":0.000005774939,"threshold_uncertainty_score":0.7190098},"labels":[],"label_agreement":null},{"id":"W2128674763","doi":"10.1007/s11002-005-5898-9","title":"Incorporating Behavioral Anomalies in Strategic Models","year":2005,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":5,"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 Toronto; University of Alberta","funders":"","keywords":"Phenomenon; Core (optical fiber); Behavioral economics; Key (lock); Consumer behaviour; Management science; Prospect theory; Economics; Positive economics; Marketing; Computer science; Microeconomics; Epistemology; Business","score_opus":0.040371463806076306,"score_gpt":0.2420227828320245,"score_spread":0.20165131902594818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128674763","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":[0.9715767,0.000056100067,0.00007646739,0.0023504049,0.0001733225,0.00017143489,9.622695e-7,0.0001719782,0.025422646],"genre_scores_gemma":[0.9951232,0.0000017926566,0.0013593946,0.0027706013,0.0005967033,0.000023820798,0.000016297066,0.000038381128,0.000069824535],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99848616,0.000053772485,0.00041798488,0.00035818553,0.0002443455,0.0004395619],"domain_scores_gemma":[0.9994263,0.00009728475,0.00019933758,0.00022393801,0.000038726976,0.000014404048],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014589846,0.00023580738,0.00022030825,0.00040299867,0.0001659227,0.0004043405,0.00025439053,0.00006145059,0.0002230823],"category_scores_gemma":[0.00003528764,0.00025236164,0.000077554476,0.00047795073,0.00005747997,0.0013753772,0.00016877972,0.00026771412,0.000061058534],"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":[0.00017377637,0.00016502217,0.915688,0.00016226641,0.000011028773,0.00011699027,0.00015956415,0.0034374727,0.012666761,0.0014597205,0.001291168,0.06466824],"study_design_scores_gemma":[0.0040074014,0.000020562784,0.72546804,0.0008706689,0.00028042382,0.000032600467,0.002660102,0.24966338,0.00017365333,0.0025746736,0.011092158,0.0031563488],"about_ca_topic_score_codex":0.00087994966,"about_ca_topic_score_gemma":0.00080700224,"teacher_disagreement_score":0.24622591,"about_ca_system_score_codex":0.000058127953,"about_ca_system_score_gemma":0.000014642816,"threshold_uncertainty_score":0.99999285},"labels":[],"label_agreement":null},{"id":"W2140237961","doi":"10.1007/s11002-005-5897-x","title":"The Psychology of Intertemporal Discounting: Why are Distant Events Valued Differently from Proximal Ones?","year":2005,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":253,"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 Toronto","funders":"","keywords":"Time preference; Discounting; Intertemporal choice; Preference; Temporal discounting; Variety (cybernetics); Delay discounting; Function (biology); Economics; Psychology; Key (lock); Positive economics; Microeconomics; Computer science","score_opus":0.08003616924439622,"score_gpt":0.3722128846263321,"score_spread":0.2921767153819359,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140237961","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":[0.9790306,0.00007950046,0.0011112832,0.018265864,0.000977415,0.00016247423,0.000028268463,0.000032278822,0.0003123063],"genre_scores_gemma":[0.9961876,0.0000062345716,0.0012591116,0.0021885955,0.00017973455,0.000011374599,0.0000064229075,0.000022878887,0.00013802861],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963069,0.00064276654,0.0011774995,0.00066838623,0.0008082827,0.00039616248],"domain_scores_gemma":[0.9958574,0.0020871796,0.00094638835,0.00092539546,0.00009982957,0.000083795734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043853885,0.00022895068,0.00042928115,0.00014007924,0.0002647899,0.0002947714,0.0013824011,0.00008140316,0.00014570849],"category_scores_gemma":[0.0022158655,0.00013970469,0.0002429985,0.00023921019,0.00022540092,0.00023422603,0.00029894483,0.000260649,0.00008374119],"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":[0.0008386568,0.00020945266,0.652034,0.000003769341,0.000040057817,0.000012550254,0.0003847548,0.000023080347,0.00525369,0.00001902178,0.041313805,0.29986718],"study_design_scores_gemma":[0.0010548757,0.00005211741,0.9459797,0.0002239315,0.0000423431,0.000008219784,0.0016276332,0.0021006572,0.00022298568,0.0054112454,0.042840086,0.00043617797],"about_ca_topic_score_codex":0.000049939204,"about_ca_topic_score_gemma":0.00016949518,"teacher_disagreement_score":0.29943103,"about_ca_system_score_codex":0.00007063486,"about_ca_system_score_gemma":0.000017083375,"threshold_uncertainty_score":0.56969917},"labels":[],"label_agreement":null},{"id":"W2145654793","doi":"10.1007/s11002-014-9332-z","title":"Connecting the dots: how personal need for structure produces false consumer pattern perceptions","year":2014,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":6,"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","funders":"","keywords":"Perception; Business; Psychology; Marketing","score_opus":0.017322069571689486,"score_gpt":0.22487379234471516,"score_spread":0.20755172277302567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145654793","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":[0.9600499,0.000034320816,0.001678721,0.036678933,0.0008133194,0.0004865487,0.000015466723,0.00015640665,0.00008634297],"genre_scores_gemma":[0.99256754,0.0000023779692,0.00012361478,0.005834347,0.0011031069,0.0000718352,0.000103630126,0.00003432887,0.00015919544],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9987785,0.00008434042,0.00021996532,0.00039136238,0.00022437399,0.00030144778],"domain_scores_gemma":[0.9989727,0.00033961883,0.00024021776,0.00027508903,0.00015799837,0.00001435037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011555828,0.00019831207,0.00015495364,0.00013773891,0.0008956346,0.0010200472,0.00026498915,0.000055642973,0.00049403356],"category_scores_gemma":[0.00074104645,0.00015554708,0.00012727258,0.00017667258,0.00008622072,0.00043367656,0.00007072111,0.00018814209,0.000054486856],"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":[0.00011446064,0.00004591286,0.14745796,0.0003473698,0.0000766837,9.327762e-7,0.000601954,0.000011351007,0.11792243,0.0000959749,0.065403074,0.6679219],"study_design_scores_gemma":[0.0014069756,0.0000033113386,0.7402151,0.00014232507,0.0003540651,0.0000111515,0.0030556463,0.01038202,0.00015339853,0.0000707668,0.24351595,0.00068924244],"about_ca_topic_score_codex":0.00009113831,"about_ca_topic_score_gemma":0.00013845942,"teacher_disagreement_score":0.66723263,"about_ca_system_score_codex":0.000023212351,"about_ca_system_score_gemma":0.0000063069524,"threshold_uncertainty_score":0.9836339},"labels":[],"label_agreement":null},{"id":"W2148389452","doi":"10.1007/s11002-005-5903-3","title":"Cognition, Persuasion and Decision Making in Older Consumers","year":2005,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Aging and Gerontology Research","field":"Psychology","cited_by":89,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Persuasion; Extant taxon; Cognition; Psychology; Cognitive aging; Consumer behaviour; Process (computing); Social cognition; Cognitive psychology; Social psychology; Computer science; Neuroscience","score_opus":0.021674700565676646,"score_gpt":0.34724991761386403,"score_spread":0.32557521704818737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148389452","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":[0.98430306,0.00042107416,0.0008195541,0.005040879,0.00014813812,0.000119834374,0.0000010803401,0.000041692132,0.009104677],"genre_scores_gemma":[0.99445695,0.00000538307,0.0023443284,0.0029149046,0.000062182065,0.000016169282,0.0000025533818,0.000013960234,0.00018358474],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99875724,0.00029567454,0.00017305741,0.0003091828,0.00012459516,0.00034024],"domain_scores_gemma":[0.99899226,0.0007690747,0.000039800543,0.00013889783,0.000017839482,0.00004212683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013545259,0.00009630588,0.000118503405,0.00018095766,0.000102888516,0.000026151669,0.00008203446,0.00007995302,0.000686652],"category_scores_gemma":[0.00020327559,0.000095858304,0.00002392268,0.00010802977,0.00012446658,0.000040944535,0.000047251815,0.00025319698,0.000100929654],"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":[0.0005518776,0.000054720276,0.23365332,0.000016665263,0.000023926868,0.00008369683,0.0028277999,0.000003698012,0.00046835834,0.000025011543,0.014825116,0.7474658],"study_design_scores_gemma":[0.0015280532,0.000014393246,0.99350077,0.00023617089,0.000011566742,0.000083229475,0.0016085904,0.00032027712,0.000010081518,0.000028358701,0.0024814708,0.00017706808],"about_ca_topic_score_codex":0.00003176598,"about_ca_topic_score_gemma":0.000060689043,"teacher_disagreement_score":0.7598474,"about_ca_system_score_codex":0.00003559482,"about_ca_system_score_gemma":0.0000059143877,"threshold_uncertainty_score":0.7518358},"labels":[],"label_agreement":null},{"id":"W2162997450","doi":"10.1007/s11002-005-5895-z","title":"A New Look at Constructed Choice Processes","year":2005,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":24,"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 British Columbia","funders":"","keywords":"Normative; Perspective (graphical); Consumer choice; Preference; Attribution; Function (biology); Cognition; Consumer behaviour; Experiential learning; Computer science; Management science; Cognitive psychology; Social psychology; Psychology; Economics; Microeconomics; Epistemology; Artificial intelligence","score_opus":0.029745493665417132,"score_gpt":0.3403091473685983,"score_spread":0.3105636537031812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162997450","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":[0.969204,0.00038334166,0.00014127772,0.011913412,0.0005499489,0.0001840907,0.000008860398,0.00017114483,0.01744389],"genre_scores_gemma":[0.9568629,0.0000054518428,0.004047724,0.013569836,0.00095062086,0.00005229512,0.000025294257,0.000040157764,0.024445666],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99876636,0.00015483766,0.00028373502,0.00027468844,0.00011348907,0.00040690583],"domain_scores_gemma":[0.9992442,0.0002237005,0.000109548506,0.00021873954,0.000035570247,0.00016819852],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00027429764,0.00012449129,0.00012620704,0.00007501193,0.0001438456,0.0000254464,0.00015571121,0.00007016118,0.015676253],"category_scores_gemma":[0.00016247119,0.00012594328,0.00006687701,0.00018786507,0.000055667202,0.00007881127,0.000042353062,0.00017519493,0.0010501791],"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":[0.00016296547,0.000056617668,0.12821518,0.00005586354,0.000019320605,0.000010496421,0.00030534677,0.0000010603522,0.0012783079,0.000025379883,0.729858,0.14001144],"study_design_scores_gemma":[0.0011314045,0.000044803783,0.45471537,0.00015803037,0.000034159,0.0000660169,0.000112038724,0.0000058172773,0.00022699803,0.000002480374,0.54324526,0.00025764605],"about_ca_topic_score_codex":0.00032104473,"about_ca_topic_score_gemma":0.00024306525,"teacher_disagreement_score":0.32650018,"about_ca_system_score_codex":0.000092507296,"about_ca_system_score_gemma":0.00004215343,"threshold_uncertainty_score":0.9997276},"labels":[],"label_agreement":null},{"id":"W2166789742","doi":"10.1007/s11002-005-5894-0","title":"Choice in Interactive Environments","year":2005,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":53,"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":"Laptop; Computer science; Focus (optics); Cover (algebra); Process (computing); Human–computer interaction","score_opus":0.009390822809169383,"score_gpt":0.2695045296280315,"score_spread":0.26011370681886214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166789742","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":[0.8158759,0.000020803971,0.000010330615,0.01339001,0.00026076895,0.00010627153,9.523228e-7,0.000045970417,0.170289],"genre_scores_gemma":[0.99409235,0.000015557425,0.00027943353,0.0028821346,0.00060901383,0.000014182132,0.0000017090646,0.00001200823,0.0020936432],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.998317,0.00063255144,0.00016904369,0.00020375777,0.00029753524,0.00038011695],"domain_scores_gemma":[0.9983727,0.0013797323,0.00006749586,0.00008904724,0.000005598317,0.00008543568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002140865,0.000089508896,0.00010975825,0.00007683946,0.00017253394,0.00008498788,0.00019196678,0.000052952782,0.00016776017],"category_scores_gemma":[0.003190949,0.00010194896,0.000046738398,0.00016183047,0.00016024188,0.0002924222,0.00004281914,0.00018508281,0.00011068844],"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":[0.00019097711,0.00024949768,0.44379634,0.000017917491,0.00003498422,0.000032483906,0.03560882,0.000080396836,0.0028213293,0.00023792038,0.021840964,0.49508837],"study_design_scores_gemma":[0.00031850566,0.000005366746,0.2582264,0.00008897448,0.000004135137,2.4125083e-7,0.0024187646,0.00002978974,0.000036940008,0.000020904705,0.7386389,0.00021111844],"about_ca_topic_score_codex":0.0006743005,"about_ca_topic_score_gemma":0.0012922945,"teacher_disagreement_score":0.7167979,"about_ca_system_score_codex":0.00031183357,"about_ca_system_score_gemma":0.000021402488,"threshold_uncertainty_score":0.41573578},"labels":[],"label_agreement":null},{"id":"W2167351390","doi":"10.1007/s11002-006-4594-8","title":"“I love it” or “I hate it”? The positivity effect in stated preferences for agent evaluation","year":2006,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Advice (programming); Interpersonal communication; Psychology; Process (computing); Social psychology; Advertising; Business; Marketing; Computer science","score_opus":0.03985226287002072,"score_gpt":0.28516604049724,"score_spread":0.24531377762721926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167351390","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":[0.9843661,0.000025670613,0.00015786345,0.012614018,0.00039805146,0.0011072605,0.000004086928,0.00004279084,0.0012841589],"genre_scores_gemma":[0.9965692,0.0000034862321,0.000028312197,0.0024413806,0.00019043157,0.00017821237,0.00010616632,0.000013461273,0.00046932165],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.998715,0.0002120471,0.00029422363,0.00026905868,0.00028992913,0.00021974412],"domain_scores_gemma":[0.99900776,0.00050860987,0.00019923897,0.00017516493,0.0001041374,0.0000050858016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041678445,0.00013872892,0.00012305978,0.00015000133,0.00016049387,0.00043419088,0.00015706546,0.00003898661,0.00043378025],"category_scores_gemma":[0.00039039683,0.00009779331,0.00006396748,0.00026601524,0.00004484159,0.00037355453,0.000040778057,0.00009890626,0.000108864035],"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":[0.0019076345,0.00019726956,0.33053675,0.00050417706,0.00004788872,0.0000069540383,0.0001910524,0.0003963663,0.03438231,0.000033298067,0.1796639,0.4521324],"study_design_scores_gemma":[0.0011309515,0.000003421508,0.9758865,0.0001180554,0.00014011146,4.92886e-7,0.00011349766,0.010000545,0.00019385049,0.00007226887,0.0121538695,0.00018644007],"about_ca_topic_score_codex":0.0006747255,"about_ca_topic_score_gemma":0.0013756859,"teacher_disagreement_score":0.64534974,"about_ca_system_score_codex":0.00006263287,"about_ca_system_score_gemma":0.000014194133,"threshold_uncertainty_score":0.47495896},"labels":[],"label_agreement":null},{"id":"W2415970239","doi":"10.1007/s11002-016-9416-z","title":"Malleability of taste perception: biasing effects of rating scale format on taste recognition, product evaluation, and willingness to pay","year":2017,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Olfactory and Sensory Function Studies","field":"Neuroscience","cited_by":1,"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 Waterloo; Brock University","funders":"","keywords":"Taste; Perception; Psychology; Willingness to pay; Product (mathematics); Stimulus (psychology); Scale (ratio); Sample (material); Social psychology; Rating scale; Cognitive psychology; Marketing; Advertising; Business; Developmental psychology; Mathematics; Economics; Microeconomics; Neuroscience","score_opus":0.09697291313932312,"score_gpt":0.2899850945906816,"score_spread":0.1930121814513585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2415970239","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":[0.9961896,0.000008334595,0.00015344894,0.0021153805,0.00052628154,0.00056630105,0.000008241976,0.000025034684,0.0004074049],"genre_scores_gemma":[0.9987289,0.000008842647,0.00044270532,0.00064639025,0.00010891718,0.000023963288,0.000001359805,0.000011261573,0.000027676513],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9979738,0.0007221541,0.00033752454,0.00040604488,0.0003803979,0.00018008036],"domain_scores_gemma":[0.99812263,0.0009184454,0.00036779695,0.00037207815,0.00017296374,0.00004606923],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0022072871,0.00014051836,0.00022643991,0.00006940825,0.00072696985,0.00006446462,0.00012294267,0.00002534466,0.000026215213],"category_scores_gemma":[0.010559903,0.000112995716,0.000050138704,0.00008666114,0.00023243266,0.0002701756,0.00008576377,0.000113208815,0.0000065057075],"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":[0.00036724567,0.00004653571,0.07943213,0.00074637047,0.000008675728,0.0000012754331,0.0020180724,0.00013014031,0.8734712,5.849176e-7,0.00038020645,0.043397535],"study_design_scores_gemma":[0.0006857137,0.00011592274,0.7325644,0.0007075194,0.000048656235,0.0000073264127,0.00046378863,0.00046815592,0.26447958,0.000018073879,0.0002212264,0.00021961967],"about_ca_topic_score_codex":0.000006002173,"about_ca_topic_score_gemma":0.0000028973884,"teacher_disagreement_score":0.65313226,"about_ca_system_score_codex":0.000031860705,"about_ca_system_score_gemma":0.000011442622,"threshold_uncertainty_score":0.99777454},"labels":[],"label_agreement":null},{"id":"W2768787890","doi":"10.1007/s11002-017-9443-4","title":"When the purpose lies within: Maximizers and satisfaction with autotelic choices","year":2017,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":16,"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":"McGill University","keywords":"Conceptualization; Perspective (graphical); Psychology; Meaning (existential); Economics; Willingness to pay; Consumer choice; Microeconomics; Social psychology; Computer science","score_opus":0.038336875701126,"score_gpt":0.3282617776950892,"score_spread":0.2899249019939632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768787890","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":[0.97427815,0.00013561257,0.000055888286,0.021235699,0.0007016451,0.00024549424,0.0000048262873,0.00006111286,0.0032815693],"genre_scores_gemma":[0.9950021,0.000007219456,0.0006626024,0.0023845634,0.00013542172,0.000070009555,0.0000022419665,0.00001890615,0.0017169588],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989772,0.00023036501,0.00018092725,0.00023882225,0.0001166434,0.0002560746],"domain_scores_gemma":[0.9990575,0.00012373392,0.00024958956,0.00048102005,0.000019669136,0.00006850637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000805591,0.000120667726,0.00011596191,0.00004283724,0.00092027633,0.00022981543,0.00019618949,0.00005321643,0.0003854897],"category_scores_gemma":[0.000076409655,0.00007942753,0.00004095702,0.00002280203,0.00027806088,0.00017488196,0.00004994047,0.000248814,0.000037950358],"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":[0.00050136156,0.000027043874,0.8148485,0.000039954226,0.000053499913,0.000021638121,0.002092741,0.0000019643792,0.00035577608,0.00014316112,0.027508311,0.15440606],"study_design_scores_gemma":[0.00046192037,0.0000620589,0.98954827,0.00009841705,0.000034651155,0.00003114039,0.00040243755,0.000015314354,0.000009740511,0.000018648532,0.009207992,0.00010939342],"about_ca_topic_score_codex":0.0035784305,"about_ca_topic_score_gemma":0.000955179,"teacher_disagreement_score":0.1746998,"about_ca_system_score_codex":0.000022488513,"about_ca_system_score_gemma":0.000008913405,"threshold_uncertainty_score":0.7078115},"labels":[],"label_agreement":null},{"id":"W2792477198","doi":"10.1007/s11002-018-9447-8","title":"Risking the self: the impact of self-esteem on negative word-of-mouth behavior","year":2018,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Toronto Metropolitan University; HEC Montréal","funders":"HEC Montréal; Social Sciences and Humanities Research Council of Canada; McGill University","keywords":"Word of mouth; Psychology; Social psychology; Competence (human resources); Trait; Self-esteem; Dimension (graph theory); Word (group theory); Negative information; Advertising; Computer science; Linguistics; Business; Mathematics","score_opus":0.0167853155480806,"score_gpt":0.3074463450720536,"score_spread":0.290661029523973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792477198","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":[0.9490176,0.000011601335,0.0000013650873,0.0024728158,0.0004034541,0.00034514748,0.0000082059605,0.00009267897,0.047647163],"genre_scores_gemma":[0.99867094,0.000010289011,0.00017570035,0.0003359703,0.0006423325,0.000019830872,5.997824e-7,0.000019023446,0.00012532763],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99685436,0.0016689845,0.0002907652,0.0002046936,0.0005644893,0.00041671927],"domain_scores_gemma":[0.9943776,0.00476514,0.00037069138,0.0002777246,0.00013871948,0.00007009459],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005341592,0.00015565366,0.00020971334,0.00005535643,0.0007718945,0.00010998688,0.0005558252,0.00007372976,0.000056736924],"category_scores_gemma":[0.0037575108,0.000091521266,0.0002256957,0.0004860527,0.000899922,0.00010033963,0.00007619952,0.00024495227,0.000011835659],"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":[0.0008545341,0.00086105964,0.26189378,0.000077018034,0.0006324318,0.00001869557,0.49696618,0.000030374984,0.0018572725,0.0008951547,0.02740145,0.20851207],"study_design_scores_gemma":[0.00036084838,0.00014138369,0.9751846,0.00026823595,0.000121615485,9.823593e-7,0.020226564,0.000035604793,0.00026973133,0.0001211741,0.0029851038,0.0002841309],"about_ca_topic_score_codex":0.0020522124,"about_ca_topic_score_gemma":0.0001462541,"teacher_disagreement_score":0.71329087,"about_ca_system_score_codex":0.00014533041,"about_ca_system_score_gemma":0.00014364375,"threshold_uncertainty_score":0.5936867},"labels":[],"label_agreement":null},{"id":"W2801035336","doi":"10.1007/s11002-018-9456-7","title":"Implicit and explicit preferences for brand name sounds","year":2018,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":22,"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 Calgary","funders":"","keywords":"Pronunciation; Fluency; Brand names; Psychology; Processing fluency; Cognitive psychology; Advertising; Linguistics; Business; Mathematics education","score_opus":0.028055278903676942,"score_gpt":0.25141738727426494,"score_spread":0.223362108370588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801035336","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":[0.9947617,0.000045747536,0.000548877,0.0022176846,0.00039184807,0.00025820057,0.000002731926,0.00010934548,0.0016638834],"genre_scores_gemma":[0.9957846,0.0000066801535,0.00019967265,0.0028357229,0.00073100167,0.00007656657,0.000019065388,0.000016752125,0.00032993394],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9991875,0.000014351551,0.00019137107,0.0002869823,0.00011301514,0.00020673945],"domain_scores_gemma":[0.9995067,0.00011071602,0.00011887543,0.0001581971,0.000094265524,0.000011242207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060411607,0.000119948374,0.0001116495,0.00012840031,0.00033645338,0.0005118036,0.00013101478,0.000036820762,0.0003538015],"category_scores_gemma":[0.00013874982,0.00011638343,0.000044338638,0.00011135367,0.00008556886,0.00040668578,0.00006321403,0.00005160875,0.00008823937],"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":[0.00043842674,0.000051813546,0.32187596,0.00037170303,0.00004771291,9.7135e-7,0.00018335748,2.559403e-7,0.08289689,0.00073644676,0.073011845,0.5203846],"study_design_scores_gemma":[0.0007401359,0.0000036018237,0.87250996,0.000061219376,0.00007858415,0.0000021422622,0.00012085916,0.00045908752,0.00014859134,0.00036239665,0.12524076,0.00027269637],"about_ca_topic_score_codex":0.00007942846,"about_ca_topic_score_gemma":0.0000423209,"teacher_disagreement_score":0.55063397,"about_ca_system_score_codex":0.00000972144,"about_ca_system_score_gemma":0.0000041018666,"threshold_uncertainty_score":0.49353337},"labels":[],"label_agreement":null},{"id":"W2802701223","doi":"10.1007/s11002-018-9457-6","title":"The effect of control priming on irresponsible financial behavior","year":2018,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; Mount Royal University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Priming (agriculture); Credit card; Control (management); Debt; Backlash; Self-control; Perceived control; Social psychology; Psychology; Business; Economics; Finance; Computer science","score_opus":0.01736081419606734,"score_gpt":0.34552628360894877,"score_spread":0.32816546941288144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802701223","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":[0.99330467,0.000047653633,0.000047843256,0.0015571768,0.0018148863,0.0004064623,0.000009759276,0.000036397676,0.0027751606],"genre_scores_gemma":[0.9976791,4.671607e-7,0.000034716977,0.0012269329,0.0002888073,0.00014617911,0.0000015913686,0.000015346637,0.0006068177],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9980633,0.00096632645,0.00029033827,0.00018738223,0.00013326728,0.00035938562],"domain_scores_gemma":[0.99823374,0.0012346827,0.0001423489,0.00030451934,0.000030412757,0.00005430409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002289215,0.00011004695,0.00015228096,0.000066266635,0.00032175545,0.000017118133,0.00018426531,0.000065772736,0.00039176748],"category_scores_gemma":[0.00044516154,0.00007733662,0.00013416447,0.00010312631,0.00019109249,0.000022443877,0.000019986646,0.00020102604,0.00015941601],"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":[0.014240366,0.00019944679,0.30563378,0.00005258254,0.000039519713,0.00004100264,0.00043208734,6.815272e-7,0.016109971,0.00035194692,0.15366136,0.50923723],"study_design_scores_gemma":[0.0014278796,0.0015414907,0.9754241,0.00012378501,0.00006490077,0.00000596156,0.000023033383,0.0000056465433,0.0014890329,0.0000011978062,0.019784158,0.000108788554],"about_ca_topic_score_codex":0.00008105518,"about_ca_topic_score_gemma":0.000017786315,"teacher_disagreement_score":0.6697903,"about_ca_system_score_codex":0.00003247801,"about_ca_system_score_gemma":0.000013233252,"threshold_uncertainty_score":0.42895794},"labels":[],"label_agreement":null},{"id":"W2905071594","doi":"10.1007/s11002-018-9474-5","title":"Antecedents of market orientation: marketing CEOs, CMOs, and top management team marketing experience","year":2018,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Market orientation; Marketing; Business; Upper echelons; Marketing management; Perspective (graphical); Orientation (vector space); Marketing effectiveness; Marketing strategy; Return on marketing investment; Marketing research; Strategic management","score_opus":0.03227711822686264,"score_gpt":0.2863727457034711,"score_spread":0.25409562747660847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905071594","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":[0.8614158,0.000053997148,0.00024519308,0.001578422,0.0005921916,0.00030098704,0.000007339592,0.00008327843,0.13572277],"genre_scores_gemma":[0.99226826,0.00017463812,0.0044152928,0.0009882853,0.0003021388,0.000011606029,0.0000039758543,0.0000156335,0.0018201896],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99527586,0.0023329672,0.00044759866,0.00057073316,0.0007614315,0.00061142625],"domain_scores_gemma":[0.9981675,0.0009174358,0.00031502615,0.0003038069,0.00013786885,0.00015833676],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.012704355,0.00020327201,0.00024251992,0.00015002296,0.0011272874,0.00015410208,0.00044584516,0.000090860805,0.0010919763],"category_scores_gemma":[0.0017197935,0.0002303327,0.000080522426,0.00046807944,0.00077351806,0.00036646417,0.00037393798,0.0001504907,0.000011827492],"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":[0.0014458551,0.00010899565,0.85420454,0.0006230963,0.00013040096,0.000031304808,0.044015117,0.0000014566718,0.0024170189,0.0002660708,0.056584932,0.040171202],"study_design_scores_gemma":[0.0007799698,0.000032577376,0.86252064,0.00048412738,0.00005777206,0.000004136645,0.08201861,0.000118562,0.0003326741,0.000029514129,0.05311533,0.0005060725],"about_ca_topic_score_codex":0.00043329142,"about_ca_topic_score_gemma":0.00008633231,"teacher_disagreement_score":0.13390258,"about_ca_system_score_codex":0.00012427651,"about_ca_system_score_gemma":0.000028014112,"threshold_uncertainty_score":0.9998212},"labels":[],"label_agreement":null},{"id":"W2962150828","doi":"10.1007/s11002-008-9067-9","title":"Towards a brain-to-society systems model of individual choice","year":2008,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Université de Montréal; McGill University; Centre Hospitalier de l’Université de Montréal; The Quebec Population Health Research Network; Montreal Neurological Institute and Hospital","funders":"","keywords":"Psychology; Computer science","score_opus":0.03888338921084133,"score_gpt":0.2443807319598108,"score_spread":0.20549734274896947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2962150828","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":[0.5437044,0.00002321623,0.44666412,0.0073522595,0.00021528195,0.00016261489,0.000005107031,0.00009781862,0.0017752015],"genre_scores_gemma":[0.9496202,0.0000037330644,0.036315978,0.013759362,0.00009344548,0.000017157578,0.0000011400281,0.000008381247,0.00018061008],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99823356,0.00012707783,0.00024303774,0.00040633313,0.0006121306,0.00037783498],"domain_scores_gemma":[0.9989796,0.00038251912,0.00010866877,0.00032666136,0.000094191295,0.00010834051],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019149578,0.00012872093,0.00017679318,0.00010663411,0.00020029205,0.00009446095,0.0010146563,0.000035829595,0.000002246337],"category_scores_gemma":[0.00050216186,0.00012591277,0.000113028225,0.0006045149,0.000093863644,0.00032842404,0.0004906242,0.00012497147,0.000009603234],"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":[0.00004686718,0.00020274833,0.020328052,0.00048240568,0.00022966914,0.000070204405,0.04485679,0.040912725,0.384191,0.00162878,0.41037944,0.09667132],"study_design_scores_gemma":[0.0009930279,0.00008789627,0.10304077,0.00048327033,0.00002091106,0.000083121624,0.0004613301,0.88045573,0.0025746906,0.00004695233,0.0107937325,0.00095857785],"about_ca_topic_score_codex":0.00005289354,"about_ca_topic_score_gemma":0.0000010031409,"teacher_disagreement_score":0.839543,"about_ca_system_score_codex":0.000039176946,"about_ca_system_score_gemma":0.000093089715,"threshold_uncertainty_score":0.51345736},"labels":[],"label_agreement":null},{"id":"W3034946821","doi":"10.1007/s11002-020-09521-z","title":"Autonomy in consumer choice","year":2020,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Psychology of Moral and Emotional Judgment","field":"Neuroscience","cited_by":150,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Autonomy; Social psychology; Sketch; Psychology; Computer science; Political science","score_opus":0.09640698827122215,"score_gpt":0.26381437313660766,"score_spread":0.1674073848653855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034946821","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":[0.86424613,0.000009976772,0.000035128185,0.12897196,0.00015764852,0.00006776953,0.0000015328696,0.00005308132,0.006456777],"genre_scores_gemma":[0.87048775,0.0000024346996,0.00021714284,0.12912343,0.00008262899,0.000006162697,6.558221e-7,0.0000059972645,0.000073790674],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999102,0.00018209442,0.00012675663,0.00028428095,0.00010861876,0.00019623297],"domain_scores_gemma":[0.9994736,0.00035772694,0.00003365861,0.00006979049,0.0000026460357,0.00006260336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021714842,0.00007354481,0.00008011578,0.000031416945,0.000044255943,0.00001596113,0.00015534282,0.000021877631,0.00020019492],"category_scores_gemma":[0.00061294134,0.00007191215,0.000028585813,0.00013008596,0.00007124023,0.000057097022,0.000044019234,0.00015128039,0.00024362055],"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":[0.00013252365,0.00005010966,0.10105304,0.000029101979,0.0000034728762,0.00012357839,0.00028569953,0.00012660921,0.841146,0.00006356731,0.05049862,0.0064876806],"study_design_scores_gemma":[0.0013235355,0.000031962605,0.68282795,0.000059218397,0.000005369952,0.000017598766,0.000026146483,0.0012223738,0.014678297,0.000029561586,0.29942107,0.00035687783],"about_ca_topic_score_codex":0.000009237144,"about_ca_topic_score_gemma":8.942955e-7,"teacher_disagreement_score":0.8264677,"about_ca_system_score_codex":0.00002769425,"about_ca_system_score_gemma":0.000009630569,"threshold_uncertainty_score":0.31313306},"labels":[],"label_agreement":null},{"id":"W3043503443","doi":"10.1007/s11002-020-09537-5","title":"Consumer decisions with artificially intelligent voice assistants","year":2020,"lang":"en","type":"article","venue":"Marketing Letters","topic":"AI in Service Interactions","field":"Computer Science","cited_by":121,"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":"Purchasing; Marketing; Consumer behaviour; Business; Advertising","score_opus":0.03443257780321184,"score_gpt":0.25246002804948386,"score_spread":0.21802745024627201,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043503443","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":[0.19308664,0.000032085183,0.7218727,0.0791958,0.00048069996,0.00017626365,0.0000040723316,0.00030096972,0.0048507955],"genre_scores_gemma":[0.865461,0.0000059494996,0.0937854,0.04046348,0.00013113309,0.000018757453,0.0000027491528,0.000028073267,0.000103449325],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983106,0.00020841224,0.0002973503,0.0004931791,0.00037024537,0.0003201877],"domain_scores_gemma":[0.99785674,0.0012455566,0.00013595248,0.00048283127,0.00009396531,0.00018493827],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004093934,0.00016701498,0.0001539557,0.000068692054,0.00020231552,0.00030489947,0.0008874277,0.000034521832,0.00014951696],"category_scores_gemma":[0.00049527985,0.00014635651,0.000060100738,0.00052881567,0.00005648168,0.0003432523,0.00027324224,0.0002702743,0.0011159302],"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":[0.0013540114,0.00048408084,0.16112314,0.00016560595,0.000675096,0.0012576473,0.012393491,0.006525081,0.11503643,0.0023056895,0.5151342,0.18354549],"study_design_scores_gemma":[0.0012782458,0.00030806093,0.19803998,0.0010831531,0.00015458766,0.0002618188,0.0015904752,0.15619712,0.010493057,0.00022283486,0.6276803,0.002690391],"about_ca_topic_score_codex":0.000027206645,"about_ca_topic_score_gemma":0.000036706526,"teacher_disagreement_score":0.67237437,"about_ca_system_score_codex":0.00005715265,"about_ca_system_score_gemma":0.00005347171,"threshold_uncertainty_score":0.9996618},"labels":[],"label_agreement":null},{"id":"W3090103624","doi":"10.1007/s11002-020-09542-8","title":"The disruptive potential of drones","year":2020,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":22,"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","funders":"","keywords":"Drone; Phenomenon; Relation (database); Marketing; Feature (linguistics); Business; Public relations; Political science; Computer science; Epistemology","score_opus":0.011286624503163385,"score_gpt":0.24715118330698407,"score_spread":0.23586455880382068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3090103624","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":[0.84120315,0.00007304515,0.000098485056,0.09052527,0.0004972924,0.00013249042,0.000003786583,0.00007967774,0.0673868],"genre_scores_gemma":[0.9975844,0.000039205348,0.000079239304,0.0015038613,0.0005610101,0.0000047051817,8.945741e-7,0.00000895749,0.00021773338],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99839455,0.00065834535,0.00016870601,0.00013527703,0.00037248805,0.0002706131],"domain_scores_gemma":[0.99842834,0.0012794264,0.000074788084,0.000072088165,0.00004370647,0.00010163856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019002702,0.00006881529,0.00010709614,0.000011773375,0.00056341453,0.00010075256,0.00027534415,0.000034939927,0.000027176508],"category_scores_gemma":[0.005229005,0.00005474565,0.000087850814,0.00018952115,0.0005285906,0.00007826096,0.000056081804,0.00010518717,0.00001216474],"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":[0.0023193846,0.00014835842,0.06299128,0.00024853338,0.0003774211,0.00010832517,0.20594662,0.000093606875,0.033584613,0.017643824,0.19976547,0.47677255],"study_design_scores_gemma":[0.0011772659,0.00014044163,0.12726746,0.00026437265,0.0001215163,0.0000013519293,0.13956165,0.0003703582,0.0005696442,0.00097315037,0.7285262,0.0010266283],"about_ca_topic_score_codex":0.00013725513,"about_ca_topic_score_gemma":0.00003373808,"teacher_disagreement_score":0.5287607,"about_ca_system_score_codex":0.000022543516,"about_ca_system_score_gemma":0.000040692277,"threshold_uncertainty_score":0.62599856},"labels":[],"label_agreement":null},{"id":"W3124935739","doi":"10.1007/s11002-021-09556-w","title":"Text is gendered: the role of letter case","year":2021,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Gender Studies in Language","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Construct (python library); Association (psychology); Inference; Gender identity; Perception; Psychology; Identity (music); Social psychology; Linguistics; Cognitive psychology; Computer science; Artificial intelligence; Aesthetics; Art","score_opus":0.014544632978745569,"score_gpt":0.2669652439553614,"score_spread":0.25242061097661583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124935739","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":[0.7749898,0.0011336245,0.000059816757,0.07913795,0.0004819322,0.00012947794,0.000008564988,0.000047067315,0.14401181],"genre_scores_gemma":[0.9771816,0.000020546424,0.0006720863,0.020900188,0.0004111954,0.000007718023,7.626481e-7,0.000011775967,0.00079412136],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982691,0.0007072301,0.00016640703,0.00020995877,0.0003228559,0.0003244711],"domain_scores_gemma":[0.99892706,0.00058697985,0.00008280706,0.00031058662,0.000055362143,0.000037214482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014945857,0.00008830954,0.000116922805,0.000023271023,0.00055542256,0.000049120536,0.00022485682,0.000040551062,0.00087718037],"category_scores_gemma":[0.00065669144,0.00007225822,0.00009318709,0.00022624912,0.00030304666,0.000044012555,0.00016294493,0.00014473835,0.000022311373],"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":[0.000033156466,0.00006965998,0.04258715,0.00007510328,0.00031752978,0.0032109832,0.30312118,0.0000141722985,0.030685488,0.00096478395,0.54984605,0.06907475],"study_design_scores_gemma":[0.00021322956,0.0000046438167,0.0047685667,0.00003009236,0.000053872558,0.00016409287,0.17220747,0.000025814925,0.0041084634,0.0001363747,0.8180217,0.00026565386],"about_ca_topic_score_codex":0.0008894545,"about_ca_topic_score_gemma":0.0004820461,"teacher_disagreement_score":0.2681757,"about_ca_system_score_codex":0.000047587135,"about_ca_system_score_gemma":0.000038556045,"threshold_uncertainty_score":0.96045095},"labels":[],"label_agreement":null},{"id":"W3212393124","doi":"10.1007/s11002-021-09600-9","title":"Counterfeit patronage: human values, counterfeit experience and construal level","year":2021,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Cultural Differences and Values","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":"Regional Municipality of Niagara; Brock University","funders":"","keywords":"Counterfeit; Consumption (sociology); Construal level theory; Advertising; Social psychology; Transcendence (philosophy); Psychology; Business; Marketing; Sociology; Political science; Epistemology; Social science; Law; Philosophy","score_opus":0.08305626475439906,"score_gpt":0.35014753599912335,"score_spread":0.2670912712447243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212393124","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":[0.9896858,0.00039031846,0.00006104755,0.0017271239,0.0006941442,0.00009691364,0.000038598464,0.00007771813,0.007228359],"genre_scores_gemma":[0.99243087,0.000014490335,0.00021994997,0.003336654,0.00022462987,0.00002456644,0.000029938616,0.000020663498,0.003698239],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99819446,0.0003484476,0.0002848364,0.00053783663,0.0002207453,0.0004136688],"domain_scores_gemma":[0.99923855,0.000217287,0.00010023827,0.00029445326,0.00005909134,0.000090378104],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00041103043,0.00021837745,0.00023840986,0.0000374013,0.00027718602,0.00018086641,0.0001793079,0.00008128806,0.0028488832],"category_scores_gemma":[0.000090342415,0.00019858673,0.000070384456,0.000099484074,0.0002985898,0.000101352634,0.00013042642,0.00022132102,0.000053622953],"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":[0.0002680875,0.00016981267,0.6388949,0.00015295918,0.00028086265,0.00066913303,0.020285979,0.000003596568,0.19774786,0.0015761246,0.11858717,0.021363506],"study_design_scores_gemma":[0.0009566154,0.000049244314,0.9733131,0.00014836651,0.000040990726,0.00022811786,0.00802915,0.000056436515,0.00052555546,0.000040482188,0.01614337,0.0004686036],"about_ca_topic_score_codex":0.00018482954,"about_ca_topic_score_gemma":0.000024175932,"teacher_disagreement_score":0.33441818,"about_ca_system_score_codex":0.000036729187,"about_ca_system_score_gemma":0.000012226057,"threshold_uncertainty_score":0.9980627},"labels":[],"label_agreement":null},{"id":"W4200610338","doi":"10.1007/s11002-021-09604-5","title":"The role of timeframes in the retrieval and temporal location judgments of past events","year":2021,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Memory Processes and Influences","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Recall; Proposition; Frame (networking); Point (geometry); Cognitive psychology; Psychology; Event (particle physics); Computer science; Epistemology","score_opus":0.013893076903118593,"score_gpt":0.2431240764485396,"score_spread":0.229230999545421,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200610338","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":[0.9966939,0.00020711863,0.000004850482,0.0024851356,0.00004353946,0.00006778616,0.0000012864384,0.0000028429688,0.0004935113],"genre_scores_gemma":[0.99882513,0.000041900534,0.00003673635,0.0010446812,0.000016419297,0.0000019781505,4.3687984e-7,0.000002920415,0.000029785522],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990418,0.0003306288,0.00017955063,0.00013026378,0.00022021202,0.000097548465],"domain_scores_gemma":[0.99908787,0.00061827083,0.0001255153,0.00013397817,0.0000249627,0.0000093912695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009797337,0.000046802357,0.00006571351,0.000018222814,0.000077497716,0.000023479479,0.00016476402,0.000015156526,0.000007124804],"category_scores_gemma":[0.001147969,0.000028577011,0.000014827159,0.0002528534,0.000094191084,0.00006628925,0.000043946788,0.00007148318,7.0372187e-7],"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":[0.00018114375,0.00003327926,0.20453341,0.0000982619,0.0000038568046,0.0000040354553,0.00070138124,0.000028614684,0.78838146,0.000046147015,0.00025526903,0.005733126],"study_design_scores_gemma":[0.0003645331,0.0000426648,0.41176376,0.00024312332,0.000011775177,0.000013132845,0.0020242552,0.00074568053,0.5804995,0.0004049447,0.0037676375,0.00011899376],"about_ca_topic_score_codex":0.000010701778,"about_ca_topic_score_gemma":0.0000019711156,"teacher_disagreement_score":0.20788199,"about_ca_system_score_codex":0.00000493814,"about_ca_system_score_gemma":0.000016195132,"threshold_uncertainty_score":0.1374309},"labels":[],"label_agreement":null},{"id":"W4206444328","doi":"10.1007/s11002-021-09601-8","title":"Using virtual reality to increase charitable donations","year":2022,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada; Marketing Science Institute","keywords":"Persuasion; Donation; Virtual reality; Marketing; Work (physics); Business; Public relations; Advertising; Computer science; Psychology; Economics; Political science; Human–computer interaction; Social psychology; Engineering","score_opus":0.04653210102831567,"score_gpt":0.2908748722185812,"score_spread":0.24434277119026554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206444328","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":[0.45359105,0.0000075275675,0.51216596,0.030693823,0.00017452861,0.00025048363,0.0000344083,0.00016843356,0.0029138147],"genre_scores_gemma":[0.9665826,7.632021e-7,0.019649567,0.013419472,0.000065826294,0.00007958776,0.000011933497,0.000011023068,0.00017923866],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983168,0.0003990454,0.00020770797,0.0003624324,0.0003912232,0.00032276954],"domain_scores_gemma":[0.9988957,0.00025128352,0.00007681968,0.0005758984,0.00003525764,0.00016501299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002208489,0.00010161674,0.00010662783,0.0001586637,0.0008190586,0.00017432547,0.0007604054,0.0000149279,0.000081096194],"category_scores_gemma":[0.00036814806,0.00011747456,0.00004636031,0.00085770694,0.000021461245,0.0002676502,0.0008322101,0.00016955697,0.000017722703],"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":[0.00019873996,0.00074112375,0.0037979758,0.00005320348,0.00010452079,0.000075054355,0.0049926587,0.15098985,0.31459236,0.10534543,0.2830681,0.13604099],"study_design_scores_gemma":[0.0010910225,0.00023467722,0.05791868,0.000053861466,0.00003477536,0.00015646004,0.00074696634,0.47301608,0.0010002332,0.0011144005,0.46321446,0.0014183737],"about_ca_topic_score_codex":0.0009229832,"about_ca_topic_score_gemma":0.000009443804,"teacher_disagreement_score":0.51299155,"about_ca_system_score_codex":0.00025968507,"about_ca_system_score_gemma":0.00007282964,"threshold_uncertainty_score":0.62996197},"labels":[],"label_agreement":null},{"id":"W4281940264","doi":"10.1007/s11002-022-09635-6","title":"Marketing insights from text analysis","year":2022,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":34,"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; York University","funders":"","keywords":"Computer science; Variety (cybernetics); Field (mathematics); Data science; Word of mouth; Marketing research; Marketing; Artificial intelligence; Business; Mathematics","score_opus":0.013900595819199819,"score_gpt":0.20820417599525048,"score_spread":0.19430358017605068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281940264","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":[0.9926677,0.00012534318,0.00011303191,0.0026932713,0.0006543323,0.00014263795,0.000007777753,0.00021072263,0.003385215],"genre_scores_gemma":[0.99370444,0.0000034106201,0.00010755795,0.005038919,0.0003401087,0.00008291631,0.0002613347,0.000024823223,0.0004365163],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99830383,0.00020321524,0.0003529198,0.00046394538,0.0004427385,0.0002333499],"domain_scores_gemma":[0.99899304,0.00027919418,0.0002856599,0.00037805497,0.000050284074,0.0000137538445],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012364091,0.00016578911,0.00020095352,0.0006740081,0.0008449462,0.0004418548,0.0003597673,0.000025117972,0.009311187],"category_scores_gemma":[0.00020818974,0.00018758296,0.00020846655,0.0013663773,0.000038703907,0.00038836864,0.00034447102,0.0002313226,0.00023885585],"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":[0.00054732006,0.0001766655,0.69984645,0.00007105387,0.0006042694,0.00004991387,0.0001649461,0.00042680968,0.046978816,0.00011718704,0.06859829,0.18241826],"study_design_scores_gemma":[0.00029062037,3.3325367e-7,0.8707268,0.000009072465,0.00054051203,5.0602785e-7,0.00031241338,0.0035698116,0.000009639094,0.00002231109,0.12426335,0.00025462903],"about_ca_topic_score_codex":0.0006690759,"about_ca_topic_score_gemma":0.00007968628,"teacher_disagreement_score":0.18216363,"about_ca_system_score_codex":0.00007026374,"about_ca_system_score_gemma":0.000007370419,"threshold_uncertainty_score":0.99159443},"labels":[],"label_agreement":null},{"id":"W4284700612","doi":"10.1007/s11002-022-09640-9","title":"Correction to: Marketing insights from text analysis","year":2022,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Digital Marketing and Social Media","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; York University","funders":"","keywords":"Computer science; Marketing; Data science; Business","score_opus":0.00872249543637812,"score_gpt":0.24213570959464856,"score_spread":0.23341321415827043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4284700612","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":[0.84455335,0.00005365565,0.00012751571,0.0060414593,0.004074285,0.00020218044,0.000015252469,0.000267864,0.14466444],"genre_scores_gemma":[0.99047333,0.000006848874,0.00034090728,0.004087669,0.0007375152,0.000076521166,0.000037798196,0.000026626893,0.00421278],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9934758,0.0041691815,0.00033063194,0.0005256498,0.0009815142,0.0005172446],"domain_scores_gemma":[0.9937819,0.005502314,0.00018055605,0.00024612958,0.000056198827,0.00023290214],"candidate_categories":["metaresearch","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005553178,0.00017154151,0.0002897585,0.00039442125,0.0022425929,0.00029113452,0.00046049408,0.000045205838,0.0012536308],"category_scores_gemma":[0.009212551,0.00020652388,0.0002509824,0.0024543554,0.00011618061,0.00015519204,0.000255642,0.0003827557,0.00004662296],"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":[0.0013375605,0.00023077258,0.24278289,0.000020166559,0.0010354533,0.00011235457,0.06322797,0.0028953096,0.003746712,0.00018043585,0.49638942,0.18804094],"study_design_scores_gemma":[0.0003131337,0.000031545656,0.39799732,0.000070969974,0.00033213815,6.3107547e-7,0.036371987,0.0008381194,0.00001864866,0.00008062539,0.56317896,0.00076596095],"about_ca_topic_score_codex":0.005393483,"about_ca_topic_score_gemma":0.0018290414,"teacher_disagreement_score":0.18727499,"about_ca_system_score_codex":0.00049560453,"about_ca_system_score_gemma":0.0000837635,"threshold_uncertainty_score":0.99965936},"labels":[],"label_agreement":null},{"id":"W4296824429","doi":"10.1007/s11002-022-09648-1","title":"Reaching for rigor and relevance: better marketing research for a better world","year":2022,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":26,"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 British Columbia; University of Toronto; York University","funders":"","keywords":"Relevance (law); Scholarship; Marketing; Marketing science; Political science; Sociology; Public relations; Business; Marketing management; Relationship marketing","score_opus":0.06611407804244324,"score_gpt":0.30923963495100776,"score_spread":0.24312555690856452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296824429","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":[0.96137494,0.000111507696,0.0005204906,0.035363153,0.0006712919,0.0011566719,0.000017730908,0.00013372445,0.00065049785],"genre_scores_gemma":[0.97469836,0.000008308846,0.0027763748,0.016113522,0.0014287538,0.002282096,0.00015937252,0.000099398334,0.0024338388],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99775755,0.00023749849,0.0003814391,0.0006016958,0.00042642158,0.000595381],"domain_scores_gemma":[0.99697423,0.0023571355,0.00020404348,0.0002999962,0.00014666074,0.000017936545],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.011851843,0.00017720196,0.00018461356,0.0006236909,0.001948043,0.0006101594,0.0002914866,0.000030868672,0.0003941282],"category_scores_gemma":[0.0014609394,0.00019956256,0.0001162631,0.0004341837,0.0000884472,0.0004404013,0.00034315177,0.00042219233,0.000014401113],"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":[0.0013680204,0.00006718026,0.064408876,0.0007304869,0.000044338347,0.0000045677225,0.00011710719,0.000006726725,0.020560643,0.0002878736,0.32845572,0.58394843],"study_design_scores_gemma":[0.001102897,0.0000033280583,0.1068907,0.00008365978,0.000071200295,0.000002921484,0.00029083627,0.0025319483,0.000019483045,0.00039996332,0.88828045,0.00032258424],"about_ca_topic_score_codex":0.00006881661,"about_ca_topic_score_gemma":0.00004207003,"teacher_disagreement_score":0.58362585,"about_ca_system_score_codex":0.00010593167,"about_ca_system_score_gemma":0.000012030314,"threshold_uncertainty_score":0.99935126},"labels":[],"label_agreement":null},{"id":"W4310482589","doi":"10.1007/s11002-022-09657-0","title":"How uncertainty affects information search among consumers: a curvilinear perspective","year":2022,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada); Concordia University","funders":"Concordia University; Northwestern University","keywords":"Perspective (graphical); Contrast (vision); Product (mathematics); Econometrics; Computer science; Economics; Mathematics","score_opus":0.05428774371059829,"score_gpt":0.33202847526915497,"score_spread":0.27774073155855666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310482589","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":[0.9846477,0.000021757893,0.0006448737,0.011172053,0.0006916176,0.00028017448,0.000047079022,0.00008300023,0.0024117448],"genre_scores_gemma":[0.9974746,0.0000016384688,0.0005293895,0.001566271,0.000059030666,0.000034832832,0.000013108916,0.000013612872,0.00030752298],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99611896,0.0011693717,0.00040327577,0.00047310142,0.001429092,0.00040620792],"domain_scores_gemma":[0.99571395,0.0030583206,0.00032377907,0.0005593673,0.00022411505,0.00012049058],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.009936469,0.00018011522,0.00027564162,0.0005339704,0.00071397994,0.001216744,0.00085008395,0.000044852706,0.00054126594],"category_scores_gemma":[0.00518609,0.00016082697,0.00018170517,0.00081574044,0.00018920959,0.0009644258,0.0005611279,0.00049780036,0.000105045096],"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":[0.00079832633,0.00011608197,0.124526225,0.000015027252,0.00005784243,0.00009549126,0.0070098266,0.023527585,0.0011527109,0.00020446714,0.1285833,0.71391314],"study_design_scores_gemma":[0.0037270014,0.00045638156,0.15987487,0.00012302204,0.00009622135,0.0001496558,0.31411207,0.12417064,0.00029816257,0.0035304972,0.3912636,0.0021978884],"about_ca_topic_score_codex":0.0002690841,"about_ca_topic_score_gemma":0.000030357669,"teacher_disagreement_score":0.7117152,"about_ca_system_score_codex":0.00049968046,"about_ca_system_score_gemma":0.00008090605,"threshold_uncertainty_score":0.9998201},"labels":[],"label_agreement":null},{"id":"W4319299622","doi":"10.1007/s11002-023-09664-9","title":"Social media sentiment polarization and its impact on product adoption","year":2023,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Social Sciences and Humanities Research Council","keywords":"Social media; Valence (chemistry); Sentiment analysis; Polarization (electrochemistry); Ambivalence; Advertising; Conversation; Psychology; Product (mathematics); Business; Social psychology; Computer science; World Wide Web; Chemistry; Mathematics","score_opus":0.020418562442267557,"score_gpt":0.30053503775246654,"score_spread":0.280116475310199,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319299622","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":[0.97441596,0.000019165225,0.0000013805003,0.014517598,0.00052408705,0.0001924808,0.0000075704384,0.00029307697,0.0100287],"genre_scores_gemma":[0.9977902,0.000024396684,0.000015578704,0.00039285547,0.0011281988,0.000011454737,0.000035126508,0.000018746216,0.00058345456],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9979933,0.000674296,0.00015196086,0.0002644562,0.0005122316,0.00040374158],"domain_scores_gemma":[0.9988187,0.00088297756,0.0000882048,0.000061378094,0.000046218538,0.00010251005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034502486,0.00012215985,0.00013119845,0.00013659422,0.0006805798,0.0001844877,0.00009941188,0.00006372647,0.000028509992],"category_scores_gemma":[0.003679512,0.00011915968,0.0000654083,0.0005249193,0.00010514697,0.00016899775,0.00004025844,0.00012943789,0.00005858881],"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":[0.0011880896,0.00028070848,0.18060212,0.00030675347,0.00026817335,0.0000966542,0.17533363,0.00009926574,0.03145918,0.006263722,0.20963769,0.39446402],"study_design_scores_gemma":[0.00039519215,0.000024804944,0.98463273,0.00012637832,0.00002905235,6.191819e-7,0.0037936736,0.00013133943,0.000103625636,0.00017459862,0.010180744,0.00040725662],"about_ca_topic_score_codex":0.000055930224,"about_ca_topic_score_gemma":0.000020818734,"teacher_disagreement_score":0.8040306,"about_ca_system_score_codex":0.0001296761,"about_ca_system_score_gemma":0.00004247775,"threshold_uncertainty_score":0.52345383},"labels":[],"label_agreement":null},{"id":"W4384930522","doi":"10.1007/s11002-023-09691-6","title":"From physical space to mental space: feelings of being physically constrained increase consumer preference for mind-expanding products","year":2023,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Psychology of Social Influence","field":"Social Sciences","cited_by":3,"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 Laval","funders":"University of Massachusetts Amherst; Université Laval","keywords":"Viewpoints; Feeling; Space (punctuation); Preference; Psychology; Consumption (sociology); Physical space; Social psychology; Cognitive psychology; Advertising; Computer science; Business; Economics; Aesthetics; Microeconomics","score_opus":0.032662789984993536,"score_gpt":0.33149281192021984,"score_spread":0.2988300219352263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384930522","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":[0.95684844,0.0000054308553,0.00007283236,0.03974198,0.00039314188,0.0006994972,0.00006496486,0.00013001994,0.0020436887],"genre_scores_gemma":[0.9932315,0.000004557754,0.004599511,0.0010854346,0.00073536386,0.000062925166,0.000021703385,0.000023365223,0.0002356344],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99780667,0.00037404787,0.00024657752,0.0005464113,0.00042653954,0.00059978454],"domain_scores_gemma":[0.9975128,0.0018103607,0.00019107026,0.00020316575,0.000117955635,0.00016461164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017521194,0.00018312685,0.0003210819,0.00010800034,0.00053202093,0.00006430628,0.00036785842,0.000079923426,0.000023678185],"category_scores_gemma":[0.0037174416,0.00020694312,0.00010140925,0.00060618046,0.00085888297,0.00016830856,0.000104973245,0.00017209724,0.00004894205],"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":[0.00032588566,0.00007472971,0.007991295,0.000045966717,0.00008408747,0.000007858879,0.05322002,0.000008387472,0.91191065,0.00039512047,0.022162866,0.0037731272],"study_design_scores_gemma":[0.014046724,0.0008306356,0.40419692,0.0060021086,0.0010289011,0.000006622638,0.14240144,0.0012887423,0.26992616,0.012897112,0.13969585,0.007678759],"about_ca_topic_score_codex":0.0009786934,"about_ca_topic_score_gemma":0.00003831335,"teacher_disagreement_score":0.64198446,"about_ca_system_score_codex":0.000104668106,"about_ca_system_score_gemma":0.0001044216,"threshold_uncertainty_score":0.84388953},"labels":[],"label_agreement":null},{"id":"W4386085665","doi":"10.1007/s11002-023-09693-4","title":"How is retargeting related to purchase incidence, channel choice, and purchase quantity?","year":2023,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":2,"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 Guelph","funders":"","keywords":"Channel (broadcasting); Retargeting; Business; Advertising; Computer science; Marketing; Telecommunications; Artificial intelligence","score_opus":0.019575471811086584,"score_gpt":0.2416417707859471,"score_spread":0.22206629897486052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386085665","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":[0.95458555,0.00011806493,0.00007628107,0.042354334,0.00055338687,0.00040053175,0.000005194686,0.00059061195,0.0013160419],"genre_scores_gemma":[0.9867497,0.000023718592,0.00019378526,0.011214489,0.00046127566,0.000047271868,0.000038975737,0.000081277176,0.0011895201],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976629,0.00007139087,0.0003721649,0.00069941656,0.0004364641,0.00075766625],"domain_scores_gemma":[0.9988878,0.0003542794,0.00022160148,0.000378339,0.00009526346,0.00006273971],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0027613842,0.00033887394,0.00032079237,0.0009025733,0.00057198736,0.0009967347,0.00032959357,0.00009939627,0.00012944036],"category_scores_gemma":[0.0021167526,0.00035865747,0.00011050786,0.0018902599,0.000080381775,0.0010067973,0.0006512483,0.00034589454,0.00024185798],"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":[0.00017514605,0.00003995008,0.84977216,0.0006762564,0.000076642464,0.00028293568,0.00071289134,0.000045114328,0.03537769,0.000095401316,0.06016921,0.052576598],"study_design_scores_gemma":[0.0013363091,0.0000152079065,0.7538082,0.0005854361,0.00019923945,0.000016862847,0.00094868673,0.010914233,0.00014377302,0.00016109212,0.23050238,0.0013686129],"about_ca_topic_score_codex":0.000507704,"about_ca_topic_score_gemma":0.000040294657,"teacher_disagreement_score":0.17033316,"about_ca_system_score_codex":0.000029604347,"about_ca_system_score_gemma":0.000009709535,"threshold_uncertainty_score":0.9998865},"labels":[],"label_agreement":null},{"id":"W4387183376","doi":"10.1007/s11002-023-09704-4","title":"Correction to: From physical space to mental space: feelings of being physically constrained increase consumer preference for mind-expanding products","year":2023,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","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":"Université Laval","funders":"","keywords":"Feeling; Space (punctuation); Preference; Psychology; Physical space; Computer science; Social psychology; Economics; Microeconomics; Geography","score_opus":0.023226194090817238,"score_gpt":0.25470547634496177,"score_spread":0.23147928225414452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387183376","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":[0.9873063,0.000005720368,0.00017547453,0.009611462,0.0010955448,0.0010183785,0.0000274517,0.00019681355,0.0005628543],"genre_scores_gemma":[0.9971978,0.0000011264669,0.0012179057,0.0005481986,0.00050452305,0.00014485615,0.00007653518,0.000049358587,0.00025969063],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99819773,0.000041441483,0.0003026234,0.0006233876,0.00035653214,0.00047828798],"domain_scores_gemma":[0.9985869,0.0007172132,0.00022169184,0.00025267154,0.0001847522,0.000036798476],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006926988,0.00028873177,0.00040023722,0.00030691593,0.0003005217,0.00016742398,0.00021500242,0.00003089148,0.00002187068],"category_scores_gemma":[0.0023362725,0.00030271919,0.00011696885,0.0008681328,0.000106984844,0.00027852974,0.00036560715,0.00014541675,0.00012116533],"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":[0.0005575268,0.00008603821,0.1513043,0.00021305504,0.000109741835,0.000007856688,0.001027513,0.000017506443,0.78574723,0.000036259124,0.03148389,0.029409096],"study_design_scores_gemma":[0.004896913,0.00013160656,0.8692547,0.0037734467,0.001491474,0.0000040676096,0.00537918,0.010487269,0.052043974,0.00010103819,0.049341526,0.003094793],"about_ca_topic_score_codex":0.0006678703,"about_ca_topic_score_gemma":0.00007749108,"teacher_disagreement_score":0.73370326,"about_ca_system_score_codex":0.00006721875,"about_ca_system_score_gemma":0.000021216152,"threshold_uncertainty_score":0.9999425},"labels":[],"label_agreement":null},{"id":"W4387261616","doi":"10.1007/s11002-023-09705-3","title":"On enjoying watching movies in a theatre versus at home: a comparative analysis","year":2023,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","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 British Columbia; Simon Fraser University","funders":"","keywords":"Advertising; Window (computing); Movie theater; Product (mathematics); Business; Art; Computer science; Visual arts; World Wide Web; Mathematics","score_opus":0.045089636524470324,"score_gpt":0.25351891026057366,"score_spread":0.20842927373610334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387261616","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":[0.9758868,0.00027195693,0.000020327736,0.00573807,0.00036989426,0.000097024655,0.000022313578,0.00006324721,0.017530365],"genre_scores_gemma":[0.99880934,0.000098806646,0.00007515633,0.0004970457,0.00005967746,0.000033258802,0.00002104696,0.00001032079,0.0003953458],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998893,0.00005238845,0.00032613854,0.0003508122,0.000048020396,0.000329602],"domain_scores_gemma":[0.9984948,0.001159629,0.0001281721,0.0001764921,0.000005584936,0.00003529356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010158857,0.00013872131,0.00045603787,0.0007197741,0.00015139148,0.000034908244,0.000110401845,0.000031395255,0.000101755766],"category_scores_gemma":[0.00022242541,0.00014698278,0.00015174648,0.001111237,0.000038387272,0.000056631055,0.00010554907,0.00013606639,0.00030919162],"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":[0.0008858973,0.000051882744,0.9371815,0.00008880569,0.00116387,0.00008191414,0.01941171,0.00935738,0.00030206487,0.0015687521,0.028491832,0.0014143917],"study_design_scores_gemma":[0.002352147,0.00004965854,0.9682399,0.00010007675,0.00007849418,6.27348e-7,0.0036528343,0.009878762,0.000037401223,0.000450158,0.014576286,0.0005836777],"about_ca_topic_score_codex":0.00015631181,"about_ca_topic_score_gemma":0.00037621774,"teacher_disagreement_score":0.031058377,"about_ca_system_score_codex":0.0001654968,"about_ca_system_score_gemma":0.0000026285973,"threshold_uncertainty_score":0.59937835},"labels":[],"label_agreement":null},{"id":"W4391481976","doi":"10.1007/s11002-024-09718-6","title":"Participant multitasking in online studies","year":2024,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","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":"Mount Royal University; University of Alberta","funders":"Marketing Science Institute","keywords":"Human multitasking; Computer science; Psychology; Cognitive psychology","score_opus":0.056854365097014754,"score_gpt":0.30997414735803475,"score_spread":0.25311978226102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391481976","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":[0.97290176,0.0023404458,0.013278141,0.010006303,0.0008844271,0.00007468968,7.269221e-7,0.00040400072,0.00010949652],"genre_scores_gemma":[0.985301,0.000026007701,0.012990508,0.0014577996,0.00013945428,0.000008384438,8.4666436e-7,0.000013361049,0.00006260589],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99857515,0.0002089772,0.00025982864,0.00040537896,0.00017150272,0.00037913732],"domain_scores_gemma":[0.9988107,0.00081564096,0.000029659785,0.00028644007,0.000016933422,0.00004063224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016942868,0.00012873464,0.00016613262,0.00017666622,0.000081423714,0.00025194752,0.00026015288,0.000025691194,0.0000029487385],"category_scores_gemma":[0.00043485838,0.000115164985,0.00005573874,0.00042115818,0.000046341163,0.00019312145,0.00019113993,0.00021300581,0.000020083307],"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":[0.0000515773,0.00021250074,0.020223957,0.0015826755,0.00041427338,0.005404144,0.049794264,0.01728596,0.20235199,0.0023981207,0.035268012,0.66501254],"study_design_scores_gemma":[0.0006217084,0.00004266487,0.02912834,0.005512871,0.000049793372,0.00013553673,0.0035138733,0.93533707,0.002166742,0.00028788406,0.022139382,0.001064153],"about_ca_topic_score_codex":0.000025330068,"about_ca_topic_score_gemma":0.000027482363,"teacher_disagreement_score":0.9180511,"about_ca_system_score_codex":0.00007154284,"about_ca_system_score_gemma":0.000018426552,"threshold_uncertainty_score":0.4696292},"labels":[],"label_agreement":null},{"id":"W4393113557","doi":"10.1007/s11002-024-09721-x","title":"Product recall: a synthesis of multidisciplinary findings, and research directions","year":2024,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Management and Marketing Education","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; McGill University","funders":"","keywords":"Multidisciplinary approach; Recall; Product (mathematics); Computer science; Business; Process management; Knowledge management; Psychology; Cognitive psychology; Political science; Mathematics","score_opus":0.026992531223561055,"score_gpt":0.2890806656688729,"score_spread":0.26208813444531187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393113557","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":[0.937707,0.0004815654,0.000023525985,0.023292618,0.0008223675,0.0003401102,0.0000013091773,0.0002441157,0.0370874],"genre_scores_gemma":[0.9967951,0.000084916835,0.0005507117,0.00017662875,0.00092315115,0.00008452239,0.0000074749973,0.000035646193,0.0013418404],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986578,0.00011070918,0.00023123281,0.0004105651,0.00030263947,0.00028702134],"domain_scores_gemma":[0.998591,0.001053697,0.000052869167,0.0002088586,0.00008274573,0.000010813852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063541224,0.00012348057,0.0001333324,0.0007931778,0.00029141284,0.00036923928,0.00015254135,0.000029865105,0.0001336755],"category_scores_gemma":[0.0023605858,0.00011681483,0.000052073305,0.00092523027,0.00012000575,0.0004556493,0.000279056,0.00020081112,0.00004270615],"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":[0.00034656218,0.0002191887,0.13363525,0.011336066,0.00021735733,0.000042203937,0.00066629396,0.000013293981,0.045272928,0.004135006,0.5189955,0.2851203],"study_design_scores_gemma":[0.00021137387,0.000009564109,0.417216,0.002717679,0.00020360074,0.0000064111473,0.0010351565,0.0058087334,0.0007650265,0.0005538499,0.5708914,0.0005811871],"about_ca_topic_score_codex":0.00022953367,"about_ca_topic_score_gemma":0.00001559752,"teacher_disagreement_score":0.28453913,"about_ca_system_score_codex":0.00003559669,"about_ca_system_score_gemma":0.000013179819,"threshold_uncertainty_score":0.47635704},"labels":[],"label_agreement":null},{"id":"W4399755925","doi":"10.1007/s11002-024-09734-6","title":"Too much of a good thing? High volumes of positive WOM can undermine adopters of new technology products","year":2024,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Digital Marketing and Social Media","field":"Social Sciences","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":"Marketing Science Institute","keywords":"Business; Early adopter; Marketing; Advertising","score_opus":0.008379640649844625,"score_gpt":0.24508771468543256,"score_spread":0.23670807403558794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399755925","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":[0.94999355,0.00028151256,0.000027492262,0.037855152,0.0006302129,0.00022843419,0.000027765065,0.00012560606,0.010830257],"genre_scores_gemma":[0.9964858,0.000026874673,0.0013617382,0.00024639425,0.00021038332,0.000004923642,0.0000048737647,0.00002111107,0.0016378824],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.9981722,0.00030526187,0.00040059575,0.0003067449,0.0004591643,0.0003559855],"domain_scores_gemma":[0.9985206,0.000852388,0.00022557704,0.00018713885,0.00014078795,0.00007350858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018800376,0.00014401774,0.00035229838,0.00026402646,0.00009583953,0.000042538282,0.00032329722,0.00012871365,0.000023220102],"category_scores_gemma":[0.0038399273,0.00014730947,0.00009748007,0.0009993872,0.0007255317,0.0001168324,0.000087061424,0.00019451903,0.0000014342093],"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":[0.0009452334,0.00042712936,0.06709641,0.0038340979,0.0010441679,0.00016723573,0.18652928,0.000037123165,0.08331053,0.02455928,0.073246054,0.55880344],"study_design_scores_gemma":[0.005868694,0.0023214193,0.2181878,0.029605119,0.0016485582,0.000048635997,0.34933326,0.0003570157,0.15060087,0.02421562,0.21186142,0.0059516067],"about_ca_topic_score_codex":0.0035084947,"about_ca_topic_score_gemma":0.00020326627,"teacher_disagreement_score":0.55285186,"about_ca_system_score_codex":0.0001044005,"about_ca_system_score_gemma":0.00037539355,"threshold_uncertainty_score":0.60071063},"labels":[],"label_agreement":null},{"id":"W4410870391","doi":"10.1007/s11002-025-09775-5","title":"Guidelines for creating content when conducting netnographic research","year":2025,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Computational and Text Analysis Methods","field":"Social 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":"HEC Montréal","funders":"King's College London","keywords":"Content (measure theory); Business; Computer science; Mathematics","score_opus":0.5950606538914234,"score_gpt":0.5405792596133916,"score_spread":0.05448139427803178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410870391","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":[0.658338,0.0005840279,0.050241318,0.2485494,0.0007815257,0.0006737343,0.0000030603267,0.00016859682,0.04066035],"genre_scores_gemma":[0.6612467,0.0000458931,0.305396,0.014141918,0.0019627763,0.00019507532,0.000018491957,0.000028006394,0.016965153],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.996841,0.0017089945,0.00035322658,0.00027955842,0.00041604342,0.00040114947],"domain_scores_gemma":[0.99080193,0.007952712,0.000089733556,0.00011465654,0.0009887435,0.000052234765],"candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.022803469,0.000081457794,0.0001633965,0.0003307843,0.0016103636,0.0001966566,0.0002510947,0.00004506352,0.000066652625],"category_scores_gemma":[0.023486871,0.00007849254,0.00014671196,0.0007094982,0.00023052731,0.0000879809,0.00007363673,0.00015874126,0.0000022295949],"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":[0.00025525558,0.00007449985,0.10938113,0.00023957019,0.00047012427,0.0000073695974,0.012773023,0.00078237755,0.02706971,0.034824073,0.36342975,0.45069313],"study_design_scores_gemma":[0.0013354436,0.00003551169,0.023237675,0.0010153495,0.0001695617,9.656302e-7,0.0519971,0.014616701,0.00048235903,0.02273145,0.88371897,0.0006589168],"about_ca_topic_score_codex":0.0022823208,"about_ca_topic_score_gemma":0.00040994375,"teacher_disagreement_score":0.52028924,"about_ca_system_score_codex":0.00007321834,"about_ca_system_score_gemma":0.00009737591,"threshold_uncertainty_score":0.9996894},"labels":[],"label_agreement":null},{"id":"W4411167368","doi":"10.1007/s11002-025-09781-7","title":"A new technique for measuring a firm’s marketing emphasis","year":2025,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Emphasis (telecommunications); Business; Marketing; Industrial organization; Computer science; Telecommunications","score_opus":0.02427677738641182,"score_gpt":0.24795689976859814,"score_spread":0.22368012238218632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411167368","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":[0.79494876,0.00045969614,0.15271099,0.031031756,0.002664838,0.0030385961,0.000006122638,0.0011212172,0.014018007],"genre_scores_gemma":[0.9790319,0.000011711954,0.008217627,0.006863126,0.0007293274,0.0006651021,0.000037341866,0.000057048765,0.0043868106],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99868935,0.000051986975,0.000364304,0.0004020382,0.00017774904,0.0003145464],"domain_scores_gemma":[0.9990824,0.0003169156,0.00018107315,0.00029370404,0.00011145401,0.000014455241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002553917,0.0001873773,0.00017805335,0.00045111214,0.00037492454,0.0005007577,0.00028539143,0.0000673244,0.0003184368],"category_scores_gemma":[0.0010284579,0.00020867187,0.00015723438,0.00046552464,0.000027537557,0.00038890843,0.00011709764,0.00012486661,0.000044970293],"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":[0.00054272683,0.000043290314,0.06784321,0.0008203444,0.000060410937,0.0000034419058,0.000019110346,0.0000033503327,0.20529796,0.00019180778,0.18468262,0.5404917],"study_design_scores_gemma":[0.0014740857,0.0000010455913,0.592387,0.0009100425,0.0002653694,0.000002895812,0.00010257097,0.0007908541,0.0012906792,0.00018564673,0.40202335,0.0005664317],"about_ca_topic_score_codex":0.00015961926,"about_ca_topic_score_gemma":0.00003155926,"teacher_disagreement_score":0.5399253,"about_ca_system_score_codex":0.00006334012,"about_ca_system_score_gemma":0.000030149095,"threshold_uncertainty_score":0.8509392},"labels":[],"label_agreement":null},{"id":"W4411720560","doi":"10.1007/s11002-025-09782-6","title":"Giving time or money: which altruism feels more effective?","year":2025,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":1,"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 Toronto","funders":"","keywords":"Altruism (biology); Economics; Microeconomics; Monetary economics; Psychology; Social psychology","score_opus":0.009920219426447057,"score_gpt":0.30366599512433196,"score_spread":0.2937457756978849,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411720560","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":[0.9146597,0.00012576324,0.000017687082,0.022569383,0.00048150276,0.0004428604,0.0000040364844,0.000166691,0.061532393],"genre_scores_gemma":[0.98637706,0.000024564073,0.00068426545,0.0036090394,0.00016820451,0.00011035456,0.0000021508697,0.000019741903,0.009004619],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99841464,0.0004377174,0.00020516354,0.00034565094,0.00016122716,0.0004356228],"domain_scores_gemma":[0.998734,0.0009114029,0.000080959064,0.00017289136,0.000038592476,0.00006215647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015966233,0.0001574506,0.00023123098,0.00010304871,0.00082327035,0.00013559147,0.00027753128,0.00007017067,0.00027591625],"category_scores_gemma":[0.0008861453,0.00015505256,0.000069840346,0.0003495137,0.0002305058,0.0001588162,0.00019063478,0.00015961792,0.00009513972],"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":[0.00068110856,0.0002442139,0.4455495,0.00021049727,0.00040386958,0.00007407331,0.04032114,0.00008686656,0.24603365,0.0010211176,0.21861525,0.046758723],"study_design_scores_gemma":[0.002958647,0.00012234555,0.67994183,0.0014488924,0.00024388883,0.000004746253,0.02902344,0.00062085094,0.015244136,0.0003056871,0.26757598,0.0025095597],"about_ca_topic_score_codex":0.0011552288,"about_ca_topic_score_gemma":0.00034988933,"teacher_disagreement_score":0.23439233,"about_ca_system_score_codex":0.00043804283,"about_ca_system_score_gemma":0.000058209116,"threshold_uncertainty_score":0.6332013},"labels":[],"label_agreement":null},{"id":"W4412647533","doi":"10.1007/s11002-025-09784-4","title":"Correction: Giving time or money: which altruism feels more effective?","year":2025,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Evolutionary Game Theory and Cooperation","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 Toronto","funders":"","keywords":"Altruism (biology); Economics; Psychology; Social psychology","score_opus":0.004922455725031258,"score_gpt":0.26353348391596165,"score_spread":0.2586110281909304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412647533","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":[0.8155614,0.00009680765,0.0021010174,0.039438333,0.002720066,0.0005653113,0.0000025399713,0.00038717897,0.13912731],"genre_scores_gemma":[0.9322739,0.000014493388,0.00018063048,0.0035015745,0.0004746565,0.000059062215,0.000005377632,0.0000107045025,0.063479565],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99773353,0.0013556292,0.00015848278,0.00025838218,0.00021521802,0.0002787649],"domain_scores_gemma":[0.99802905,0.0016357314,0.000057947775,0.00014032413,0.0000888522,0.000048114347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027625489,0.00011085407,0.0001295077,0.00009827518,0.0011056071,0.00010608709,0.00017326539,0.00008023194,0.0007621574],"category_scores_gemma":[0.0025671294,0.00010690518,0.000046586723,0.00068563805,0.00014188627,0.00022381873,0.00004549088,0.00019058738,0.00009508006],"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":[0.0019353324,0.00020138868,0.041074634,0.0001793725,0.0002468369,0.000041092597,0.018034227,0.002880148,0.046050027,0.0052527743,0.75374633,0.13035783],"study_design_scores_gemma":[0.0015403602,0.00011342107,0.42437878,0.0015419932,0.00015670664,0.00001702985,0.007579356,0.014188533,0.0015630848,0.0008215916,0.5467866,0.0013125165],"about_ca_topic_score_codex":0.0001955166,"about_ca_topic_score_gemma":0.000198958,"teacher_disagreement_score":0.38330415,"about_ca_system_score_codex":0.0002156513,"about_ca_system_score_gemma":0.000116293784,"threshold_uncertainty_score":0.85035485},"labels":[],"label_agreement":null},{"id":"W46446543","doi":"10.1023/a:1027492516677","title":"The Nature of Self-Reported Guilt in Consumption Contexts","year":2003,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Emotions and Moral Behavior","field":"Psychology","cited_by":173,"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 Manitoba; University of British Columbia","funders":"","keywords":"Rationalization (economics); Denial; Typology; Narrative; Psychology; Consumption (sociology); Social psychology; Consumer research; Consumer behaviour; Sociology; Marketing; Business; Political science; Psychotherapist; Social science; Law","score_opus":0.01955304884605625,"score_gpt":0.30778088625166117,"score_spread":0.2882278374056049,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W46446543","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":[0.9917972,0.00030846006,0.000009611808,0.0016547784,0.0006363025,0.00016451813,0.0000017900326,0.000032632975,0.005394668],"genre_scores_gemma":[0.998396,0.000011938309,0.0003952254,0.0007288978,0.000017411143,0.000019841678,0.0000028287882,0.000010382224,0.00041748368],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998804,0.00047992961,0.00026856145,0.00015997831,0.00009407825,0.0001935042],"domain_scores_gemma":[0.99908984,0.00032813192,0.00013382906,0.0003974516,0.000029221774,0.00002154508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014303548,0.00007785527,0.0000984758,0.000056139816,0.000069464695,0.000012491026,0.00013497788,0.00009902529,0.0002445468],"category_scores_gemma":[0.00040402266,0.000060290575,0.000045541703,0.0001104287,0.00006117916,0.00002105384,0.000017795164,0.00026628707,0.000020917396],"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":[0.00009995551,0.00013574581,0.9375881,0.000020768919,0.00007328145,0.000077712735,0.00047682892,0.0000022215208,0.014808772,0.00260172,0.039616037,0.004498852],"study_design_scores_gemma":[0.00056061713,0.000010873906,0.9787374,0.000035899226,0.000026467547,0.00002932035,0.00012490465,0.0000021051474,0.000269188,0.000019796786,0.020096703,0.00008673871],"about_ca_topic_score_codex":0.000029507142,"about_ca_topic_score_gemma":0.000032651184,"teacher_disagreement_score":0.041149285,"about_ca_system_score_codex":0.000027415132,"about_ca_system_score_gemma":0.00000833063,"threshold_uncertainty_score":0.2677616},"labels":[],"label_agreement":null}]}