{"id":"W4254757755","doi":"10.1515/iupac.79.1287","title":"Fertility","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Stereochemistry Studies","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Chemistry; Philosophy; Biology; Linguistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001450025,0.001702775,0.001391083,0.003150807,0.0008885878,0.003154904,0.002728583,0.001791234,0.1646356],"category_scores_gemma":[0.01096218,0.0005147701,0.001794,0.005290899,0.0003464816,0.002092493,0.001836144,0.001638639,0.2044187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001594604,"about_ca_system_score_gemma":0.002927559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0177565,"about_ca_topic_score_gemma":0.03229633,"domain_scores_codex":[0.9978864,0.0003532062,0.0003190067,0.0008043189,0.0004117896,0.0002251851],"domain_scores_gemma":[0.9960952,0.0009921563,0.0003671187,0.001001906,0.001278784,0.0002647887],"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":[0.0001221867,0.00002096787,0.001449484,0.0008533015,0.00004240918,0.00001967377,0.00001939186,0.0001881983,0.00008241566,0.0006744,0.9892013,0.00732628],"study_design_scores_gemma":[0.0001691241,0.00001939475,0.003130792,0.0004724897,0.00003980969,0.00006074445,0.00006750552,0.000239699,0.0002021284,0.001441293,0.9941331,0.00002384322],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001138779,0.0001128558,0.00009970035,0.00008725085,0.00003867345,0.00002373241,0.9976352,0.0002757121,0.00161303],"genre_scores_gemma":[0.0003546884,0.00008906111,0.0003202372,0.0001297408,0.00001187809,0.0001115735,0.9975515,0.00006384705,0.001367539],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1646356,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01617493226560711,"score_gpt":0.3805823227671172,"score_spread":0.3644073905015101,"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."}}