{"id":"W4255478730","doi":"10.1515/iupac.88.1211","title":"Pluripotent","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; Philosophy; Data mining","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":[0.001715778,0.00128641,0.001119583,0.003567493,0.0009247648,0.003417893,0.002171211,0.001642025,0.1716913],"category_scores_gemma":[0.01371659,0.0005692787,0.001669823,0.006098686,0.0003917875,0.002776578,0.002476676,0.001687235,0.2017834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001618822,"about_ca_system_score_gemma":0.003195513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01436376,"about_ca_topic_score_gemma":0.02709211,"domain_scores_codex":[0.9973469,0.0004833976,0.0005478851,0.0008474177,0.0005047917,0.0002696207],"domain_scores_gemma":[0.9950404,0.001293794,0.0004896666,0.001312754,0.001583356,0.0002801055],"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":[0.0001097797,0.00001741965,0.001492977,0.001374441,0.00004080259,0.00002397545,0.00003581306,0.0001437087,0.0001362916,0.001259323,0.9855006,0.009864785],"study_design_scores_gemma":[0.00008451576,0.0000123459,0.002306757,0.0006289567,0.00002381804,0.00004778694,0.00006609539,0.0001205002,0.0001759618,0.001246592,0.9952686,0.0000180903],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000134573,0.0001637836,0.0001809233,0.0001413097,0.00006359776,0.00004100818,0.995846,0.0003535327,0.003075328],"genre_scores_gemma":[0.0004098313,0.0001603201,0.0004540565,0.0002122435,0.00001576231,0.0001560101,0.9964727,0.0001003361,0.002018832],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8283087,"threshold_uncertainty_score":0.5743647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01186760350417021,"score_gpt":0.4490197951127894,"score_spread":0.4371521916086192,"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."}}