{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001456437,0.001740312,0.001214785,0.003552266,0.001109167,0.003623839,0.002865762,0.001860585,0.1372789],"category_scores_gemma":[0.01079371,0.0006071227,0.001662976,0.005561168,0.0004276612,0.002922576,0.002732114,0.002223952,0.2191899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001829739,"about_ca_system_score_gemma":0.002644062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01856155,"about_ca_topic_score_gemma":0.03868015,"domain_scores_codex":[0.9972159,0.0004744872,0.0003592377,0.0009181732,0.0007164617,0.0003156988],"domain_scores_gemma":[0.9959194,0.000842956,0.0004273097,0.001103259,0.001407784,0.0002993515],"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":[0.00006330795,0.00001739289,0.001565853,0.0005633815,0.000020888,0.00001726289,0.00002836501,0.0001470195,0.00007664582,0.001074488,0.9904047,0.006020677],"study_design_scores_gemma":[0.00005456179,0.000009932848,0.002583047,0.0003009631,0.00001346791,0.00005240699,0.00007665024,0.0001976858,0.0001593106,0.001164089,0.9953718,0.00001612888],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002349792,0.0001643513,0.0001593492,0.0002296491,0.00008154025,0.0000241013,0.9949988,0.0004047332,0.003702549],"genre_scores_gemma":[0.0004695193,0.0001025172,0.0003581829,0.0001437782,0.00001267133,0.00006241947,0.9966636,0.00008184611,0.002105359],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1372789,"threshold_uncertainty_score":0,"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."}}