{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002203322,0.000493557,0.0006057388,0.0001115201,0.00006748686,0.00002779385,0.0006274586,0.0004712686,0.009276179],"category_scores_gemma":[0.0002439926,0.0003520577,0.0002705633,0.0001797159,0.00009428953,0.00005609389,0.0003901566,0.0006629226,0.00002710632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006080441,"about_ca_system_score_gemma":0.0001124883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009244627,"about_ca_topic_score_gemma":0.000064814,"domain_scores_codex":[0.9974217,0.0000211151,0.0005007555,0.00056066,0.0009427962,0.0005529881],"domain_scores_gemma":[0.9984774,0.0001043858,0.0001561274,0.0009063141,0.000126221,0.0002295488],"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":[0.00007911936,0.0001337741,2.521083e-7,0.0002585175,0.000128545,0.00006308068,0.000002406728,0.00001915274,0.0007286473,0.00002475764,0.9963003,0.002261436],"study_design_scores_gemma":[0.0007582607,0.00004187791,9.266998e-7,0.0004237371,0.0001237814,0.000005193062,0.000003237991,0.00008080023,0.0006821108,0.0001679075,0.9971756,0.0005365513],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003985941,0.0006750174,0.0005423688,0.0005918203,0.0006249623,0.0001997775,0.9968874,0.0001893926,0.0002494399],"genre_scores_gemma":[0.00002824812,0.001819953,0.00003585169,0.0002395028,0.001392262,0.00001689615,0.9944417,0.00005655113,0.001969068],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.009249073,"threshold_uncertainty_score":0.9998931,"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."}}