{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":9,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":9,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"1aae5d06111f","filters":{"venue":"Journal of Earth Science & Climatic Change"}},"results":[{"id":"W2327246080","doi":"10.4172/2157-7617.1000164","title":"Effects of Climate Change on Invasion Potential Distribution of Lantana camara","year":2013,"lang":"en","type":"article","venue":"Journal of Earth Science & Climatic Change","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Lantana camara; Lantana; HadCM3; Climate change; Distribution (mathematics); Ecology; Species distribution; Geography; Environmental resource management; Environmental science; Biology; General Circulation Model; Habitat; GCM transcription factors","authors":[{"name":"Neena Priyanka Joshi PK","is_ca":false}],"retraction":{"nature":"Retraction","openalex_flagged":false},"screen_n_in":null,"score":{"opus":0.0248083263857393,"gpt":0.2461362682048165,"spread":0.2213279418190772,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00095517,0.0001816662,0.0004042608,0.0001518406,0.0001627046,0.00004836216,0.0005023601,0.00007375074,0.005149844],"category_scores_gemma":[0.0002344652,0.0001380466,0.000174737,0.0008291078,0.000652367,0.00105047,0.0002301837,0.0001672739,0.000316293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001817228,"about_ca_system_score_gemma":0.00002128253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002093563,"about_ca_topic_score_gemma":0.00004186472,"domain_scores_codex":[0.9972887,0.00006959102,0.0006747155,0.0002227252,0.001251851,0.0004923871],"domain_scores_gemma":[0.9982802,0.0001036892,0.0009798099,0.000247492,0.0001486268,0.0002401575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004356902,0.003290079,0.1380278,0.001669128,0.000061158,0.0001262931,0.006494457,0.00006109521,0.7708272,0.003526154,0.00261845,0.07286242],"study_design_scores_gemma":[0.0008377957,0.0009506583,0.9627313,0.000401104,0.00004941358,0.00005096357,0.0008438682,0.0005812219,0.03301797,0.0001215377,0.000237768,0.0001763738],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969482,0.00009805895,0.00005588522,0.0004293349,0.0004702702,0.0005435891,0.00006216623,0.000009295268,0.00138317],"genre_scores_gemma":[0.9986085,0.0009315428,0.000101672,0.0002056495,0.0001001327,0.00002155697,0.00001155116,0.00000852825,0.00001086085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8247035,"threshold_uncertainty_score":0.9957596,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2314856685","doi":"10.4172/2157-7617.1000213","title":"Beekeeping as Integrated Watershed Conservation and Climatic Change Adaptation: An Action Research in Boredo Watershed","year":2014,"lang":"en","type":"article","venue":"Journal of Earth Science & Climatic Change","topic":"Bee Products Chemical Analysis","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"International Development Research Centre","keywords":"Beekeeping; Watershed; Livelihood; Agroforestry; Soil conservation; Watershed area; Watershed management; Honey bee; Business; Agriculture; Geography; Ecology; Biology","authors":[{"name":"Gorfu B Kumsa T","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.292284508875565,"gpt":0.3565934354570966,"spread":0.06430892658153159,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006100807,0.0001371068,0.000331751,0.0002511329,0.0003236539,0.0002666293,0.0003973094,0.00008175143,0.0001077879],"category_scores_gemma":[0.0006676487,0.00006133221,0.00005661019,0.002057477,0.0004175452,0.002009624,0.00009358984,0.000350157,0.00001754703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006365012,"about_ca_system_score_gemma":0.00002864725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001199436,"about_ca_topic_score_gemma":0.001713347,"domain_scores_codex":[0.9973155,0.0003518968,0.0005970938,0.0003456479,0.0009025944,0.000487303],"domain_scores_gemma":[0.9984137,0.0002731022,0.00035005,0.0001020545,0.0006212052,0.0002398966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001246437,0.0001941902,0.01953884,0.0001108488,0.0000127428,0.00001156558,0.008092109,0.000008229886,0.6845252,0.0001876245,0.00001565695,0.2871784],"study_design_scores_gemma":[0.001262966,0.003413735,0.778572,0.001119584,0.00009549264,0.0002035095,0.02355509,0.133132,0.04760915,0.008641665,0.001663536,0.0007312515],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882303,0.00007120122,0.00001549414,0.01123041,0.0001067628,0.0002757202,0.000002130238,0.00001462223,0.00005330366],"genre_scores_gemma":[0.99765,0.0001467379,0.001262334,0.000487091,0.0004053307,0.00001706802,0.00001849524,0.000001717067,0.00001117441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7590331,"threshold_uncertainty_score":0.2571113,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2597775882","doi":"","title":"Economic consequences of climate change impacts on road transportation network in Atlantic Canada","year":2016,"lang":"en","type":"article","venue":"Journal of Earth Science & Climatic Change","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Climate change; Economic impact analysis; Geography; Physical geography; Environmental resource management; Geology; Oceanography; Environmental science; Engineering; Civil engineering","authors":[{"name":"Yuri Yevdokimov","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04293021839181661,"gpt":0.2974564684481013,"spread":0.2545262500562847,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001862015,0.00009851826,0.0002838415,0.0001813418,0.0001821687,0.00003479546,0.0003667714,0.00004119801,0.0001349331],"category_scores_gemma":[0.0002353661,0.00007148247,0.00006152219,0.0004490312,0.0006505748,0.0008198931,0.000007256629,0.00008772215,0.000006390284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003250236,"about_ca_system_score_gemma":0.001937478,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7943294,"about_ca_topic_score_gemma":0.991193,"domain_scores_codex":[0.9980861,0.00007342524,0.0005274984,0.0001382079,0.000587014,0.000587762],"domain_scores_gemma":[0.9985427,0.0002023048,0.000783446,0.0001160699,0.00008487731,0.0002705808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003512088,0.0001292124,0.8197048,0.0002076351,0.00003076498,0.0003010716,0.04900385,0.0001645515,0.001463251,0.05812228,0.001808019,0.06871332],"study_design_scores_gemma":[0.0004861513,0.0002386078,0.9928554,0.001268334,0.00001194387,0.000009050489,0.0006691903,0.00002810977,0.0001710098,0.0007905033,0.003318927,0.0001527349],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890794,0.0001306361,0.000001587673,0.009225986,0.0005529214,0.0002001352,0.0000907207,0.000002488511,0.0007160794],"genre_scores_gemma":[0.9965548,0.001974279,0.00004861952,0.0009100263,0.0004850033,0.000004643394,3.144498e-7,0.000004443643,0.00001787139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1968636,"threshold_uncertainty_score":0.3437003,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2619722533","doi":"","title":"Comparison of the temporal variability of summer temperatures, rainfall and streamflows in southern Quebec during the 1950-2010 period","year":2016,"lang":"en","type":"article","venue":"Journal of Earth Science & Climatic Change","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Period (music); Climatology; Geology; Physical geography; Environmental science; Geography","authors":[{"name":"Anthony PothierChampagne Vincent MaloneyDumont","is_ca":false},{"name":"Ali A. Assani","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02682454851479373,"gpt":0.2652210168271757,"spread":0.238396468312382,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002232157,0.0000901449,0.0002439969,0.0000572803,0.0001909774,0.00001585247,0.0004222383,0.00002880803,0.0001569086],"category_scores_gemma":[0.0001785306,0.0000372608,0.00005548913,0.000268867,0.001702598,0.0002910815,0.000323266,0.0001344227,0.000003551601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003239523,"about_ca_system_score_gemma":0.00002021546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001009644,"about_ca_topic_score_gemma":0.009616833,"domain_scores_codex":[0.9986925,0.0001257447,0.0004275775,0.0001355491,0.0004081016,0.0002105734],"domain_scores_gemma":[0.9992002,0.0001073105,0.0004069271,0.000222859,0.00002184518,0.00004082305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002132736,0.00006315115,0.9796705,0.00002167666,0.000005973262,0.000001164783,0.01164067,0.00002767747,0.008213312,0.00001523559,0.00001216218,0.0003071142],"study_design_scores_gemma":[0.0003435977,0.00006476881,0.9962546,0.00008809299,0.00001392869,0.000005724162,0.002026742,0.0001689053,0.0007620731,0.0001526151,0.00006844757,0.00005056922],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971506,0.00004481807,0.000008108621,0.002311875,0.0001258485,0.0001914356,0.000004597724,0.000001536406,0.0001611556],"genre_scores_gemma":[0.9996282,0.00001723956,0.0001206713,0.00005855873,0.00002115277,0.000002947969,4.542476e-8,0.000002548558,0.0001486411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.016584,"threshold_uncertainty_score":0.6273292,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2786185221","doi":"","title":"Economic consequences of floods in Atlantic Canada","year":2017,"lang":"en","type":"article","venue":"Journal of Earth Science & Climatic Change","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Geology; Oceanography","authors":[{"name":"Yuri Yevdokimov","is_ca":false},{"name":"Yuliya Burina","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06520143088640702,"gpt":0.3357816393254131,"spread":0.270580208439006,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001916409,0.00006174562,0.0002346002,0.0001356152,0.0004545908,0.0001240312,0.0009068195,0.00002764553,0.0001339876],"category_scores_gemma":[0.0009953501,0.00005533579,0.00004584801,0.0001393936,0.001646228,0.0008480955,0.00003849873,0.0001053055,0.00000364888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002012223,"about_ca_system_score_gemma":0.005252649,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9675418,"about_ca_topic_score_gemma":0.996996,"domain_scores_codex":[0.998642,0.000041675,0.00037636,0.00009664443,0.0005018486,0.0003414847],"domain_scores_gemma":[0.9984685,0.0001065867,0.0009311198,0.0001997111,0.00008866358,0.0002054314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003842267,0.00006781227,0.9016781,0.0001118849,0.00002102591,0.0002653024,0.03290426,0.00005084768,0.001561116,0.05257065,0.003187086,0.007543533],"study_design_scores_gemma":[0.0004600897,0.00009026755,0.9771048,0.0004321566,0.00001247837,0.00003462874,0.002159078,0.0001460178,0.0005585827,0.002067476,0.01676574,0.0001686804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856539,0.00008957494,0.000001006248,0.009381959,0.0006138767,0.00008874671,0.00002015705,8.83453e-7,0.004149842],"genre_scores_gemma":[0.9988908,0.0002365782,0.0001258961,0.0003629381,0.0002483632,0.000001056798,5.422276e-8,0.000002161595,0.0001321925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07542674,"threshold_uncertainty_score":0.9317973,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2531848160","doi":"","title":"A study of temporal variability of atmospheric total gaseous mercury in Windsor, Ontario, Canada","year":2014,"lang":"en","type":"article","venue":"Journal of Earth Science & Climatic Change","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Windsor; Mercury (programming language); Environmental science; Environmental chemistry; Atmospheric sciences; Geology; Chemistry; Soil science; Computer science","authors":[{"name":"Iris Xiaohong Xu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01269624727759912,"gpt":0.2150557326109503,"spread":0.2023594853333511,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002071311,0.0001569025,0.0004589857,0.00001209598,0.00007140139,0.00001116619,0.0004793231,0.00003722224,0.0007436826],"category_scores_gemma":[0.0001344175,0.0001275906,0.00006524767,0.0006203087,0.0005291288,0.0004293889,0.0002265998,0.0002141541,0.000002184731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005014083,"about_ca_system_score_gemma":0.0002216519,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6510166,"about_ca_topic_score_gemma":0.7674422,"domain_scores_codex":[0.9972821,0.0001093316,0.000841619,0.0002356751,0.001189048,0.0003422632],"domain_scores_gemma":[0.9986382,0.00009745701,0.0007487957,0.0003117141,0.00002200634,0.0001818277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002837468,0.000602567,0.976007,0.00001503056,0.000005751736,0.00001569235,0.004381826,0.01660779,0.0005110366,0.000004173114,0.000005977761,0.001814728],"study_design_scores_gemma":[0.0006129754,0.0009577755,0.9832892,0.00004113823,0.00002181102,0.00004645246,0.002341578,0.0124279,0.00003189594,0.00006746752,0.00004133489,0.0001204429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985681,0.000008998051,0.0002857259,0.00003954853,0.0002064571,0.0002767269,0.000001170061,0.000001902472,0.0006113821],"genre_scores_gemma":[0.9908527,0.000003973975,0.009002769,0.0000544815,0.00001998466,0.000003556053,2.109136e-7,0.000007150996,0.00005519433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1164256,"threshold_uncertainty_score":0.8142803,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2918825452","doi":"","title":"Climate change in the cool climate wine regions of Canada: Risks, opportunities and adaptive strategies","year":2018,"lang":"en","type":"article","venue":"Journal of Earth Science & Climatic Change","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Climate change; Wine; Climatology; Meteorology; Environmental science; Physical geography; Geography; Geology; Biology; Oceanography","authors":[{"name":"Tony Shaw","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2856678491939862,"gpt":0.3459855772919569,"spread":0.06031772809797076,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001958532,0.0001482121,0.0003060845,0.00005292156,0.000482184,0.0001497182,0.0005169268,0.00004136257,0.00009822672],"category_scores_gemma":[0.0001690006,0.00004482081,0.00006008903,0.0007719253,0.0009385411,0.001046077,0.0001395162,0.0001985855,0.000001922228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002778575,"about_ca_system_score_gemma":0.00011051,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02584375,"about_ca_topic_score_gemma":0.2757788,"domain_scores_codex":[0.997685,0.0001331292,0.0004957513,0.0001712049,0.0008950603,0.0006199002],"domain_scores_gemma":[0.9985158,0.0002724698,0.000396566,0.00007023618,0.0005518293,0.0001930515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001904579,0.001539157,0.07931574,0.0008522145,0.0001371284,0.001051942,0.115017,0.000009848682,0.2873042,0.06304596,0.002501679,0.4473206],"study_design_scores_gemma":[0.0001772642,0.001614509,0.9404847,0.0004169833,0.00002213303,0.0001605784,0.0545904,0.0004111991,0.0008355487,0.000230445,0.0008859343,0.0001702965],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901431,0.0002915243,3.151494e-7,0.008433381,0.0001102685,0.0003106332,0.00005315067,0.000004286134,0.0006533551],"genre_scores_gemma":[0.997146,0.001842121,0.00006532846,0.0004019102,0.0005158609,0.00001416838,0.000002390253,8.108915e-7,0.00001146538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.861169,"threshold_uncertainty_score":0.9806433,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2512409149","doi":"10.4172/2157-7617.1000364","title":"Explaining Climate Variability Vis-A-Vis Spatio-Temporal Interactions in Bangladeshi Exclusive Economic Zone (BEEZ)","year":2016,"lang":"en","type":"article","venue":"Journal of Earth Science & Climatic Change","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of Windsor","keywords":"Pelagic zone; Proxy (statistics); Sea surface temperature; Productivity; Oceanography; Environmental science; Fish <Actinopterygii>; Climatology; Geography; Climate change; Fishery; Physical geography; Biology; Geology; Statistics; Mathematics","authors":[{"name":"Nidhi Nagabhatla","is_ca":false},{"name":"Sahu SK","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04911755760666071,"gpt":0.3087720084548042,"spread":0.2596544508481435,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003445489,0.0001548473,0.0003116271,0.0002819575,0.0002568986,0.0001220823,0.0006231843,0.00003754806,0.01588817],"category_scores_gemma":[0.0004117337,0.0001078732,0.00009783704,0.0005393861,0.0007122792,0.002710741,0.0005802986,0.00026551,0.0002470911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003525771,"about_ca_system_score_gemma":0.00009626147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002743296,"about_ca_topic_score_gemma":0.001684831,"domain_scores_codex":[0.9975536,0.0001376524,0.00073235,0.0003268674,0.0006198781,0.0006296908],"domain_scores_gemma":[0.9985307,0.0003587672,0.0004737523,0.0003220169,0.00003862332,0.0002761094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009425888,0.0001383526,0.9381455,0.00002153135,0.000005570781,0.00004026727,0.002273541,0.00002694736,0.00338823,0.0001808387,0.00008845246,0.05559653],"study_design_scores_gemma":[0.002165519,0.0008357895,0.9536207,0.0003468829,0.00002344227,0.0002689964,0.002372343,0.01447758,0.001329163,0.0008864847,0.02307972,0.0005933549],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977884,0.000003713074,0.0005827528,0.001938651,0.0004487879,0.0002705583,0.00001242968,0.000009918627,0.01884922],"genre_scores_gemma":[0.9966977,0.00009633563,0.002731306,0.0001314741,0.0001757654,0.00001817644,0.000001232503,0.000009995461,0.0001380435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05500318,"threshold_uncertainty_score":0.9850115,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2597193991","doi":"","title":"Climatological influences on the interannual and seasonal variations of fine particulate matter (PM2.5) cross Southern Ontario, Canada","year":2013,"lang":"en","type":"article","venue":"Journal of Earth Science & Climatic Change","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Particulates; Environmental science; Climatology; Seasonality; Atmospheric sciences; Physical geography; Oceanography; Geology; Geography; Ecology; Biology","authors":[{"name":"Jane Liu","is_ca":false},{"name":"Jenny Cui","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02444151543362338,"gpt":0.2307254237174993,"spread":0.2062839082838759,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006121757,0.0001104683,0.0002083611,0.00001192089,0.0002470193,0.0001494118,0.0003366391,0.00003055539,0.009730976],"category_scores_gemma":[0.0001487457,0.00005880607,0.00004815782,0.0002124916,0.0005338254,0.0004299877,0.00002846257,0.0002019358,0.00004288358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001085292,"about_ca_system_score_gemma":0.0003685131,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2340657,"about_ca_topic_score_gemma":0.4297827,"domain_scores_codex":[0.9985607,0.00003980609,0.0004160642,0.0001352419,0.0005624699,0.0002856944],"domain_scores_gemma":[0.9988382,0.0003330602,0.0003697801,0.0001238508,0.0001662696,0.0001688445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001653727,0.00001528679,0.996491,0.00001543614,0.000009923398,0.000007546116,0.002026833,0.0004569014,0.0002236322,0.00001850889,0.0001270221,0.0005913575],"study_design_scores_gemma":[0.0001491796,0.0001183056,0.9950213,0.00008035843,0.00001103747,0.00007553687,0.0007238895,0.003237148,0.0002100596,0.0002231319,0.00007046001,0.0000795899],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976349,0.00004664789,0.00001114276,0.00158881,0.0001474956,0.0001144566,0.00002802621,0.000002312986,0.0004261927],"genre_scores_gemma":[0.9986478,0.000004069087,0.000558586,0.0005909798,0.00006204576,0.000001577418,0.000001483839,0.000001320195,0.0001321379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.195717,"threshold_uncertainty_score":0.9911743,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}