{"id":"W4244189224","doi":"10.1515/iupac.81.0446","title":"Heavy Metal","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Environmental risk assessment; Ecology; Computer science; Risk assessment; 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":[0.0007871332,0.001607112,0.00134137,0.003526737,0.0008460177,0.002116153,0.00253103,0.0016216,0.06775045],"category_scores_gemma":[0.00564803,0.0005951392,0.001361165,0.006074017,0.0003005264,0.001836744,0.001998818,0.001723636,0.08518386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001447236,"about_ca_system_score_gemma":0.002007689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0219991,"about_ca_topic_score_gemma":0.04530567,"domain_scores_codex":[0.9989108,0.0001361817,0.0001736001,0.0003669567,0.0002779723,0.0001345679],"domain_scores_gemma":[0.9975839,0.000551067,0.0003905137,0.0005467369,0.0007493746,0.0001785141],"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":[0.000126079,0.00002254542,0.002919036,0.001764859,0.00005315196,0.00003611988,0.00002639847,0.0002862417,0.0002380638,0.0007549362,0.986987,0.006785668],"study_design_scores_gemma":[0.0001094702,0.0000154959,0.006510295,0.0005181515,0.00003937171,0.00009223251,0.00006230814,0.0002065224,0.0003321658,0.001127223,0.9909639,0.00002291686],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001630342,0.0001376231,0.00006048194,0.00007095833,0.00002416705,0.000008448698,0.9984254,0.000112508,0.0009974026],"genre_scores_gemma":[0.0004085569,0.0001270047,0.0002617976,0.00007830602,0.000006500169,0.00003460459,0.9981406,0.00002776204,0.0009148621],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06775045,"threshold_uncertainty_score":0.2266479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01130399881421543,"score_gpt":0.352618297855762,"score_spread":0.3413142990415466,"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."}}