{"id":"W4238725791","doi":"10.1515/iupac.88.0923","title":"Hypoplasia","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":[0.001086895,0.001243526,0.001068617,0.003597279,0.0007481163,0.0022937,0.001920303,0.001448928,0.121595],"category_scores_gemma":[0.008438147,0.0005078984,0.00171046,0.00433159,0.0003958749,0.00194485,0.001882253,0.001305997,0.08224783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001044137,"about_ca_system_score_gemma":0.001977977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009702161,"about_ca_topic_score_gemma":0.02123841,"domain_scores_codex":[0.998677,0.0001996817,0.0003178428,0.000416504,0.0002662092,0.0001228089],"domain_scores_gemma":[0.9972122,0.000971659,0.0004576046,0.0006303103,0.0005851128,0.0001431012],"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":[0.0002256394,0.00002310223,0.003751109,0.003403924,0.00007358011,0.0001086517,0.00005768163,0.0002602973,0.0003480874,0.001667947,0.967091,0.02298903],"study_design_scores_gemma":[0.0001052803,0.00001979451,0.006399523,0.001230035,0.00005560193,0.000320986,0.0000825964,0.0001491601,0.0002856635,0.001812731,0.9895136,0.0000248862],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004516966,0.0006063904,0.0003060982,0.0001651444,0.00008812223,0.00004355695,0.9942636,0.0003682919,0.003707043],"genre_scores_gemma":[0.001435258,0.0007007102,0.0009699707,0.0003576039,0.00003054072,0.0001871088,0.9934368,0.0001349092,0.002747101],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.121595,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01169264743304063,"score_gpt":0.4528937949605564,"score_spread":0.4412011475275157,"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."}}