{"id":"W4250456593","doi":"10.1515/iupac.88.1045","title":"Mesonephros","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Data mining; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004099395,0.0004370335,0.000547669,0.00004021107,0.000313782,0.0001319786,0.001074667,0.000263882,0.01313759],"category_scores_gemma":[0.0008441898,0.0003397324,0.0002070835,0.00006335166,0.0004073208,0.0001219066,0.0007652348,0.0005993941,0.00007640031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003321551,"about_ca_system_score_gemma":0.00007619001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001311941,"about_ca_topic_score_gemma":0.001177568,"domain_scores_codex":[0.997402,0.00004501018,0.0003203133,0.0006235872,0.001085576,0.0005234787],"domain_scores_gemma":[0.9979016,0.00008162368,0.0003465955,0.001416891,0.00003422377,0.0002190362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002800091,0.0001648205,0.00009784814,0.00005180985,0.00003135749,0.0001232449,0.000004662381,0.000007850933,0.0001012939,3.870288e-7,0.9971454,0.00224338],"study_design_scores_gemma":[0.0004394496,0.00009284443,0.0002483377,0.0001283638,0.00009199019,0.00001938475,0.000004420896,0.000009540856,0.0001143098,0.00007272603,0.9983326,0.0004459955],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001736965,0.0002196277,0.000003925547,0.0003198868,0.0004282912,0.000249774,0.9963712,0.00005647926,0.0006139208],"genre_scores_gemma":[0.00008646283,0.000444493,0.0001148561,0.0002762266,0.0004984825,0.00001330149,0.9972857,0.0000350368,0.001245425],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01306119,"threshold_uncertainty_score":0.9999055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01191449418979297,"score_gpt":0.4584052628930018,"score_spread":0.4464907687032089,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}