{"id":"W4234341176","doi":"10.1515/iupac.79.1552","title":"Lipophobic","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Forensic toxicology; Computer science; Toxicology; Chemistry; Biology; Philosophy; Linguistics","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":[0.001204113,0.002382276,0.001682952,0.004163701,0.001112536,0.003512715,0.002877092,0.002108799,0.1474337],"category_scores_gemma":[0.008943152,0.000715318,0.002061756,0.006363016,0.0004472336,0.002527049,0.00303639,0.001897074,0.2265861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001551474,"about_ca_system_score_gemma":0.002949866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0203448,"about_ca_topic_score_gemma":0.04638444,"domain_scores_codex":[0.9984981,0.0002598115,0.0002358078,0.0004611219,0.0003257802,0.0002193481],"domain_scores_gemma":[0.9969776,0.0007955479,0.0003140411,0.0008425119,0.0008049938,0.0002653745],"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":[0.0000894421,0.00001750621,0.0007532155,0.001016029,0.00002975168,0.00001947558,0.00002400262,0.0001612237,0.0001013076,0.0005427254,0.993311,0.003934288],"study_design_scores_gemma":[0.0002212346,0.00002030462,0.002619216,0.0005498823,0.00003638743,0.00007277573,0.00008868043,0.000338092,0.0002284455,0.001525691,0.9942694,0.00002998846],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008510426,0.00008809203,0.00007334718,0.00006094734,0.00002248178,0.00001624982,0.998367,0.00036443,0.0009223747],"genre_scores_gemma":[0.0002733342,0.00008800667,0.0002807164,0.00008873296,0.000008717066,0.00009082316,0.998276,0.00008325171,0.0008104512],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1474337,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01567269363754188,"score_gpt":0.4154706566007894,"score_spread":0.3997979629632475,"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."}}