{"id":"W4254421520","doi":"10.1515/iupac.81.0875","title":"Stygobiont","year":2016,"lang":"fr","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; Computer science; Ecology; 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":[0.0008173605,0.001706739,0.001224279,0.003988853,0.001064867,0.003532874,0.002085941,0.001655472,0.09506574],"category_scores_gemma":[0.006248953,0.0005551107,0.001270415,0.006941461,0.0004875606,0.001926526,0.00249305,0.001928897,0.1397223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001713649,"about_ca_system_score_gemma":0.003044802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0319711,"about_ca_topic_score_gemma":0.06670281,"domain_scores_codex":[0.998935,0.0001689402,0.0001158106,0.0003840642,0.0002107103,0.0001853878],"domain_scores_gemma":[0.9984445,0.0003832836,0.0001960699,0.0003604054,0.0004075753,0.0002082986],"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":[0.0001047296,0.00001800423,0.001433539,0.0007598004,0.00002949532,0.00003674461,0.0000429534,0.0002622314,0.0001118847,0.001054845,0.9914635,0.004682399],"study_design_scores_gemma":[0.000148111,0.00001372777,0.003006638,0.0003809667,0.00001733119,0.00007192214,0.00008892463,0.0003918713,0.00019089,0.001411951,0.9942604,0.00001727278],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001719956,0.00009965776,0.0000624313,0.0000749515,0.00002502706,0.000008985354,0.9981892,0.000297709,0.001070049],"genre_scores_gemma":[0.000348863,0.00007446043,0.0001899404,0.00004143197,0.000005832324,0.00003539274,0.9985102,0.00005490808,0.0007389911],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09506574,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01132086235394116,"score_gpt":0.3543299541280813,"score_spread":0.3430090917741401,"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."}}