{"id":"W4240597972","doi":"10.1515/iupac.79.1807","title":"Placentation","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Multidisciplinary approach; Computer science; Toxicology; Chemistry; Biology; Philosophy; Linguistics; Sociology; Social science","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":[0.001366812,0.001714641,0.001628344,0.003749955,0.0009830765,0.00347457,0.002526392,0.002245775,0.1927387],"category_scores_gemma":[0.01384469,0.0006426926,0.001715659,0.005561823,0.0003784609,0.002056513,0.002196653,0.001939061,0.1759993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001339052,"about_ca_system_score_gemma":0.003228618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.012839,"about_ca_topic_score_gemma":0.02382044,"domain_scores_codex":[0.9982718,0.0003324695,0.0002999647,0.0005744442,0.0003140948,0.0002072507],"domain_scores_gemma":[0.9950947,0.00177082,0.0005693884,0.001169618,0.001064501,0.0003309518],"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":[0.0001563909,0.00001718109,0.001599558,0.001642687,0.00005047886,0.0000392365,0.00003046506,0.0001669224,0.00009792632,0.0006800436,0.9887734,0.006745794],"study_design_scores_gemma":[0.0002111307,0.0000202644,0.003402874,0.0009643741,0.00006281106,0.0001216048,0.00006358935,0.0001828122,0.0001909906,0.001732752,0.9930232,0.00002359464],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001011421,0.0002089531,0.0000885008,0.0001033631,0.00003989728,0.00002102894,0.9978077,0.0002575804,0.001371824],"genre_scores_gemma":[0.000513644,0.000239176,0.0004058934,0.0002431109,0.00002176978,0.0001434887,0.9969427,0.00009263539,0.001397596],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1927387,"threshold_uncertainty_score":0.6447752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005546535797304285,"score_gpt":0.3331112655439902,"score_spread":0.3275647297466859,"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."}}