{"id":"W4250581622","doi":"10.1515/iupac.79.1419","title":"Hydrophobic","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemical Safety and Risk Management","field":"Chemical Engineering","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":[0.001355195,0.002011392,0.001424,0.003244444,0.0009824758,0.003185224,0.002956505,0.001952236,0.1436081],"category_scores_gemma":[0.01012682,0.0005594578,0.00197061,0.005036302,0.0003806366,0.002379997,0.002160171,0.001714283,0.2144748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001483032,"about_ca_system_score_gemma":0.002794211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01584304,"about_ca_topic_score_gemma":0.03324752,"domain_scores_codex":[0.997907,0.0003586048,0.0003128544,0.0007736658,0.0004226332,0.0002252226],"domain_scores_gemma":[0.9965934,0.0008114552,0.0003078568,0.0009809006,0.001050042,0.0002564625],"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":[0.0001037269,0.00002151429,0.001127443,0.0007908487,0.00003629333,0.00001954544,0.00001906298,0.0001881517,0.00008405898,0.0006019086,0.9905118,0.00649564],"study_design_scores_gemma":[0.0001650052,0.00002096047,0.002686861,0.0004175618,0.0000364015,0.00006498763,0.00006992671,0.0003037683,0.0002172664,0.001563363,0.9944299,0.00002399899],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001331893,0.0001348295,0.0001243744,0.0001088088,0.000046559,0.00002843108,0.9972196,0.0004003512,0.001803919],"genre_scores_gemma":[0.0003297125,0.00008998302,0.0003342583,0.0001337203,0.00001111286,0.00009891103,0.9977584,0.00006535711,0.001178541],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1436081,"threshold_uncertainty_score":0.4804169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008691668697048658,"score_gpt":0.343716255553262,"score_spread":0.3350245868562133,"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."}}