{"id":"W4245944131","doi":"10.1515/iupac.88.0591","title":"Chondroblast","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":[],"consensus_categories":[],"category_scores_codex":[0.001543557,0.001268535,0.001452744,0.00554676,0.0008679479,0.002994745,0.00197252,0.001608592,0.09741235],"category_scores_gemma":[0.01207637,0.0006568735,0.001859292,0.007323867,0.0004646985,0.00199379,0.002243684,0.00177616,0.08129695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001162715,"about_ca_system_score_gemma":0.003310756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01123866,"about_ca_topic_score_gemma":0.02638103,"domain_scores_codex":[0.9979451,0.0002797567,0.0006043737,0.000507055,0.0004626246,0.0002010611],"domain_scores_gemma":[0.9938177,0.001755236,0.001206337,0.001407743,0.001496189,0.0003168083],"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":[0.0002643193,0.0000279711,0.00358547,0.00870416,0.0001109585,0.00008570281,0.00005800966,0.0002689848,0.0006126229,0.001138492,0.9639844,0.02115877],"study_design_scores_gemma":[0.0001914666,0.00003202391,0.007561453,0.002637143,0.00009682213,0.0002644831,0.00008090486,0.0001607507,0.0004720131,0.00165459,0.9868181,0.00003028315],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000281036,0.0008594297,0.0001968867,0.0001306373,0.00006743358,0.00004671041,0.9959939,0.0002804076,0.002143573],"genre_scores_gemma":[0.0008776436,0.0007242908,0.0008510585,0.0002332397,0.00002504757,0.0002195701,0.9953727,0.00008273211,0.001613821],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09741235,"threshold_uncertainty_score":0.3258768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01080448219244905,"score_gpt":0.449211560450457,"score_spread":0.438407078258008,"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."}}