{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002339891,0.0007423155,0.0008892842,0.00003366219,0.0001982267,0.0000626755,0.0007656522,0.0007627442,0.02778766],"category_scores_gemma":[0.0009220533,0.0005846829,0.0003583507,0.00009057502,0.0003139936,0.00005824871,0.0004516948,0.0007781225,0.000004307367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005802544,"about_ca_system_score_gemma":0.0004889244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004247394,"about_ca_topic_score_gemma":0.00009690917,"domain_scores_codex":[0.9967518,0.00001665907,0.0006459045,0.0009026233,0.001055348,0.0006276594],"domain_scores_gemma":[0.9971682,0.0001520218,0.0003258947,0.001669403,0.0004410511,0.0002433944],"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":[0.0002003567,0.0002382333,0.00003603525,0.001431182,0.0002490208,0.00008890931,0.000007227288,5.788252e-8,0.002321696,2.64932e-7,0.9939299,0.001497169],"study_design_scores_gemma":[0.0007991429,0.00001613468,0.00001091017,0.0006371227,0.0001552334,0.00001378597,0.00003926025,4.665074e-7,0.01527392,0.00009497168,0.9822847,0.0006743555],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001683866,0.001111204,0.000004706245,0.0002971902,0.0002440224,0.00005591749,0.9934559,0.0001502271,0.002996978],"genre_scores_gemma":[0.0003970382,0.0004399991,0.00000768768,0.00007633552,0.001091542,0.00002449349,0.9904079,0.00003899921,0.007515946],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02778335,"threshold_uncertainty_score":0.9996604,"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."}}