{"id":"W4249756752","doi":"10.1515/iupac.81.0163","title":"Catadromy","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","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":[0.001122177,0.001812691,0.001517394,0.00417067,0.001337472,0.004355892,0.00289424,0.00193327,0.1770323],"category_scores_gemma":[0.008134105,0.0007033529,0.001322417,0.007105055,0.0004745439,0.003087196,0.003461763,0.002289503,0.289296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001608648,"about_ca_system_score_gemma":0.002717498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01852789,"about_ca_topic_score_gemma":0.03595555,"domain_scores_codex":[0.9984211,0.0002713906,0.0001872959,0.0005415654,0.0003397899,0.0002387992],"domain_scores_gemma":[0.9970753,0.0006151704,0.0002981285,0.0008173111,0.0008553552,0.0003387575],"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":[0.00005958509,0.00001274752,0.0009468669,0.0005457871,0.00001429243,0.00001566507,0.00003137932,0.0001072049,0.00007239995,0.0008653562,0.9943269,0.003001785],"study_design_scores_gemma":[0.00007806662,0.000009943406,0.001706753,0.0003401269,0.0000110064,0.00004449107,0.00008647345,0.0001911322,0.0001294684,0.00113322,0.9962541,0.00001522766],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001052214,0.00007623806,0.00006838857,0.00008350665,0.00003217887,0.00001081617,0.9976241,0.0003471179,0.001652495],"genre_scores_gemma":[0.0002749619,0.00007381671,0.000244004,0.0000758915,0.000007955602,0.00005310403,0.9978739,0.0001057606,0.001290609],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1770323,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01625137294270355,"score_gpt":0.4227845740221502,"score_spread":0.4065332010794466,"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."}}