{"id":"W4254330366","doi":"10.1515/iupac.88.1512","title":"Zygosis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001338399,0.001329165,0.001275545,0.004115229,0.001068326,0.003928559,0.00197262,0.001447206,0.2875615],"category_scores_gemma":[0.01030612,0.000712405,0.001367099,0.006207493,0.0004294821,0.002625298,0.002892081,0.001655273,0.3034717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001259222,"about_ca_system_score_gemma":0.002741265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01189455,"about_ca_topic_score_gemma":0.02226305,"domain_scores_codex":[0.9981501,0.000326555,0.0003859441,0.0005659458,0.0003705999,0.0002007136],"domain_scores_gemma":[0.9963636,0.00117711,0.0003992,0.0009617936,0.0008498782,0.0002485474],"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":[0.000107881,0.00001010034,0.0007568643,0.001251447,0.00002732073,0.0000310651,0.00003874141,0.00009601146,0.0001476166,0.001204884,0.9880353,0.008292855],"study_design_scores_gemma":[0.00005871584,0.000007198946,0.00138096,0.000361773,0.0000133676,0.00004738914,0.00004060542,0.00005802331,0.0001248603,0.001006976,0.996887,0.00001298358],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009224133,0.0001405513,0.0001726276,0.00008389702,0.00006459387,0.0000282439,0.9954227,0.0005160337,0.00347919],"genre_scores_gemma":[0.0004184278,0.0001974776,0.000533237,0.0001721717,0.00002024567,0.0001278659,0.995445,0.0002343834,0.002851074],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2875615,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01243005344716732,"score_gpt":0.4615268615548547,"score_spread":0.4490968081076874,"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."}}