{"id":"W4231433187","doi":"10.1515/iupac.81.0212","title":"Corrosion","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Environmental Chemistry and Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Environmental risk assessment; Environmental science; Computer science; Environmental chemistry; Risk assessment; Chemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000231452,0.0003493757,0.0003579171,0.00002915152,0.0001315335,0.00002581522,0.0004781244,0.0002808729,0.1074002],"category_scores_gemma":[0.00007920231,0.0002562814,0.0001889389,0.0001349887,0.0003080419,0.00009635612,0.0004854921,0.0002953849,0.00009624784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007219462,"about_ca_system_score_gemma":0.00002549111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001042489,"about_ca_topic_score_gemma":0.0002489249,"domain_scores_codex":[0.9976893,0.00003717253,0.0003040438,0.0005680471,0.001061099,0.0003403246],"domain_scores_gemma":[0.9988675,0.00003293623,0.0001849483,0.0007189873,0.000007437076,0.0001881723],"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":[0.00002558465,0.0001430429,0.0002034025,0.00001979682,0.00001307486,0.00003429679,0.000002035851,0.00001109559,0.001820973,9.973741e-8,0.9963064,0.001420188],"study_design_scores_gemma":[0.0002739816,0.00005167174,0.00009654179,0.00008897614,0.00009989296,0.000008330128,0.000006908411,0.000003264939,0.001002797,0.00004765814,0.9979613,0.0003586414],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000597047,0.00008247122,0.00007797181,0.0002202935,0.0001389542,0.00008472048,0.9983256,0.00002953596,0.0004433525],"genre_scores_gemma":[0.0001978087,0.0006292767,0.0000297988,0.000275425,0.000253615,0.000007154289,0.9955444,0.00002133138,0.003041131],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1073039,"threshold_uncertainty_score":0.9999889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006542697285954488,"score_gpt":0.3327068773788218,"score_spread":0.3261641800928673,"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."}}