{"id":"W4230551547","doi":"10.1515/iupac.88.1216","title":"Porencephaly","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; Computer science; Linguistics; 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":[0.001121641,0.00121848,0.001178053,0.003509105,0.0007169289,0.002234123,0.002081911,0.001314368,0.08845221],"category_scores_gemma":[0.008619345,0.0005117247,0.001445408,0.004658527,0.0004759291,0.001551504,0.002050892,0.001562396,0.07079221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001115432,"about_ca_system_score_gemma":0.002542643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01411178,"about_ca_topic_score_gemma":0.02547385,"domain_scores_codex":[0.9987016,0.0002006999,0.000303558,0.0003791912,0.0002810638,0.0001338934],"domain_scores_gemma":[0.9960254,0.001402969,0.0006835622,0.000843731,0.0008295617,0.0002146709],"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":[0.000207994,0.00002027197,0.003358547,0.00348515,0.00008964337,0.00007775586,0.00004401417,0.000280129,0.0002905554,0.0009499929,0.9770451,0.01415088],"study_design_scores_gemma":[0.0001638179,0.00002617131,0.01502687,0.001587946,0.00007729208,0.0002566824,0.00007733367,0.0001463654,0.0003423925,0.001473691,0.980785,0.00003646746],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001894121,0.0003301047,0.000113061,0.00006818159,0.0000358784,0.00002503715,0.9975333,0.0001146508,0.001590258],"genre_scores_gemma":[0.0008444082,0.0004334497,0.0004351566,0.0001411147,0.00001777105,0.0002339325,0.9963529,0.00005031897,0.001490825],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08845221,"threshold_uncertainty_score":0.2959021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01232236329842511,"score_gpt":0.4596906426278943,"score_spread":0.4473682793294692,"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."}}