{"id":"W4247963469","doi":"10.1515/iupac.88.1155","title":"Osteoblast","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":[0.001749443,0.00125778,0.0011388,0.003420343,0.0009154942,0.003366017,0.002161527,0.001673741,0.1831389],"category_scores_gemma":[0.01480242,0.0005606731,0.001683452,0.005859706,0.0003894589,0.00286888,0.002244531,0.001728339,0.2085909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00162607,"about_ca_system_score_gemma":0.003154335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01435836,"about_ca_topic_score_gemma":0.02722445,"domain_scores_codex":[0.997136,0.0004860576,0.0005796763,0.0009336112,0.0005818908,0.0002827106],"domain_scores_gemma":[0.9943212,0.001387873,0.0005456507,0.001409928,0.002027814,0.0003075057],"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":[0.0001049552,0.00001772045,0.001482474,0.001149757,0.00003334702,0.000021518,0.00003153658,0.0001196277,0.000110962,0.001137464,0.9864007,0.009390038],"study_design_scores_gemma":[0.00008318786,0.00001244909,0.002564379,0.0005897799,0.00002119524,0.00004721948,0.00007460639,0.0001136069,0.0001608702,0.001193196,0.9951215,0.00001793848],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001513004,0.0001608246,0.0001741396,0.0001593393,0.00007860645,0.00004839816,0.9952143,0.0003086488,0.00370437],"genre_scores_gemma":[0.0004996604,0.0001716052,0.000528378,0.0002605722,0.00002077989,0.0001860802,0.9955028,0.0001015588,0.00272858],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1831389,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01098239009919161,"score_gpt":0.4508903841526719,"score_spread":0.4399079940534803,"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."}}