{"id":"W4235531137","doi":"10.1515/iupac.88.0728","title":"Embryonic Induction","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":[0.001567342,0.001472361,0.001377151,0.003015315,0.0009993556,0.002701996,0.002373005,0.001638439,0.1085801],"category_scores_gemma":[0.00844637,0.0007096,0.002033279,0.004590433,0.0004708091,0.001737611,0.002199017,0.001945757,0.1156145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001399582,"about_ca_system_score_gemma":0.002758586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01095717,"about_ca_topic_score_gemma":0.02586992,"domain_scores_codex":[0.9980338,0.0003286347,0.000438035,0.0005627987,0.0004178497,0.0002188859],"domain_scores_gemma":[0.9957178,0.001311609,0.0005657772,0.001187263,0.0009948174,0.0002227255],"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":[0.0003560554,0.00004632838,0.003580815,0.00396766,0.00008388378,0.00007555904,0.00005929379,0.000329947,0.0006320246,0.001607396,0.9697054,0.01955573],"study_design_scores_gemma":[0.000117075,0.00002634137,0.004932323,0.0006841882,0.00005100146,0.000113125,0.00005513442,0.0001190231,0.0005380361,0.001108546,0.9922314,0.00002387189],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003437324,0.0004599127,0.0003261916,0.00009919614,0.00007475938,0.0000645707,0.9945116,0.0004649044,0.00365521],"genre_scores_gemma":[0.0007060711,0.0004420139,0.0008738531,0.0002199354,0.00001506422,0.0002433272,0.9950053,0.0001074684,0.002386975],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1085801,"threshold_uncertainty_score":0.3632368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01394719722923417,"score_gpt":0.4506751787071605,"score_spread":0.4367279814779263,"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."}}