{"id":"W4234492438","doi":"10.1515/iupac.81.0591","title":"Metallothionein","year":2016,"lang":"it","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Ecology; Computer science; Biology; Data mining; Linguistics; Philosophy","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":[0.0007230903,0.001585954,0.001327487,0.002628688,0.0008794218,0.0020789,0.001776778,0.001491347,0.03837895],"category_scores_gemma":[0.00421881,0.0004291195,0.001111149,0.004645893,0.0002910155,0.001055189,0.001774836,0.001702906,0.05224767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001253196,"about_ca_system_score_gemma":0.001657192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01576457,"about_ca_topic_score_gemma":0.03186173,"domain_scores_codex":[0.9991171,0.0001129836,0.0001311618,0.0003274641,0.0001898249,0.0001215108],"domain_scores_gemma":[0.9984607,0.0003481812,0.000307791,0.0003486864,0.0003628344,0.0001719197],"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":[0.0002562258,0.00003072896,0.006177074,0.00186594,0.00007844028,0.00008102476,0.00004633576,0.0004010253,0.0006259419,0.0006637134,0.9818109,0.007962726],"study_design_scores_gemma":[0.000235682,0.000043647,0.01861928,0.0005508137,0.00009080755,0.0002622339,0.00009829336,0.000464245,0.0007881759,0.00144211,0.9773702,0.0000345291],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004066815,0.0002358565,0.00006704548,0.00009019667,0.00002757341,0.000008095165,0.9983987,0.0001240893,0.0006418045],"genre_scores_gemma":[0.0008270051,0.0001407037,0.0002326202,0.0000668732,0.000007686029,0.00004042297,0.9980046,0.00002088323,0.0006592709],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03837895,"threshold_uncertainty_score":0.1283904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01454448646744859,"score_gpt":0.356324958564358,"score_spread":0.3417804720969094,"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."}}