{"id":"W4231781520","doi":"10.1515/iupac.79.2219","title":"Zygote","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Hazard; Toxicology; Computer science; Chemistry; Philosophy; Biology; Linguistics; Organic chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001254097,0.001840937,0.001735963,0.004053899,0.001285258,0.004918871,0.002346434,0.001606718,0.2922283],"category_scores_gemma":[0.01167384,0.000828443,0.001702306,0.007457421,0.0004316893,0.002452677,0.002628028,0.001989218,0.3504304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001235255,"about_ca_system_score_gemma":0.003245353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01352764,"about_ca_topic_score_gemma":0.02274183,"domain_scores_codex":[0.9980611,0.0003198955,0.0002944906,0.0006589766,0.0004125332,0.0002530155],"domain_scores_gemma":[0.9957482,0.001406526,0.0004152046,0.001137725,0.0009346282,0.0003576764],"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":[0.00009390199,0.000008304744,0.0007364855,0.0007257215,0.00002916156,0.00001903041,0.00002266528,0.0001146411,0.0000825176,0.0009150029,0.9912771,0.005975497],"study_design_scores_gemma":[0.00008235799,0.000008836611,0.001371086,0.000336107,0.00002151245,0.00004379514,0.0000350592,0.00008538318,0.0001116991,0.001522768,0.9963666,0.00001485741],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006857213,0.0001124037,0.0001427639,0.00006291195,0.00004896262,0.0000127014,0.997152,0.0003859889,0.002013704],"genre_scores_gemma":[0.0003486531,0.0001714703,0.0004110485,0.0001314275,0.00001805289,0.00007949965,0.996767,0.0001982234,0.001874684],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7077717,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01641297904598081,"score_gpt":0.4284902895730628,"score_spread":0.412077310527082,"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."}}