{"id":"W4254895737","doi":"10.1515/iupac.79.1464","title":"Impermeable","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"History and advancements in chemistry","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Hazard; Toxicology; Chemistry; Philosophy; Biology; Linguistics; Organic chemistry","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":[0.001580804,0.001785885,0.001479667,0.003744006,0.000973708,0.003896557,0.002841992,0.001878357,0.2685111],"category_scores_gemma":[0.01567494,0.0006672735,0.001908379,0.005584846,0.0005141238,0.003282184,0.003172244,0.001885311,0.344674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001281727,"about_ca_system_score_gemma":0.002847343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0095375,"about_ca_topic_score_gemma":0.02002316,"domain_scores_codex":[0.9977865,0.0003975396,0.0003212703,0.0007407544,0.0004892659,0.0002646435],"domain_scores_gemma":[0.9946768,0.00146586,0.0004616723,0.00174122,0.001268864,0.0003855169],"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":[0.0000623362,0.000009878363,0.0005305639,0.000667782,0.00002364795,0.00001247239,0.00001531287,0.0001012723,0.00005345258,0.0005233492,0.9931608,0.004839104],"study_design_scores_gemma":[0.0001009217,0.00001046462,0.001151612,0.0003359199,0.00001954607,0.00003811934,0.00004453535,0.0001244699,0.0001154302,0.001316935,0.9967275,0.00001458089],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007843917,0.0001370091,0.0001258393,0.000145978,0.00007927694,0.00001960375,0.9965849,0.0004734615,0.002355505],"genre_scores_gemma":[0.0004032697,0.0001240181,0.0003596023,0.000213676,0.00002444086,0.00009335614,0.9966345,0.0001517595,0.001995423],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2685111,"threshold_uncertainty_score":0.898259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01197372947417695,"score_gpt":0.3836470925948448,"score_spread":0.3716733631206678,"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."}}