{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001166246,0.0009675926,0.001188222,0.0006007702,0.0001656766,0.0001222445,0.001365707,0.0007442799,0.01954732],"category_scores_gemma":[0.001343852,0.0007268584,0.0003368559,0.0004587587,0.0003796666,0.000203822,0.0004930018,0.0009319705,0.0005287524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001755484,"about_ca_system_score_gemma":0.002324086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004016852,"about_ca_topic_score_gemma":0.002835583,"domain_scores_codex":[0.9940938,0.0002019669,0.0008033009,0.001090819,0.002776425,0.001033721],"domain_scores_gemma":[0.995118,0.0001550588,0.000598986,0.002706525,0.0009699124,0.0004514662],"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":[0.0002473918,0.0002992661,0.000004203099,0.0001409355,0.0002233685,0.0002847564,0.000005574993,3.508177e-7,0.00003082414,0.000008770146,0.9974103,0.001344277],"study_design_scores_gemma":[0.001613457,0.0001768207,0.00001677458,0.0006521546,0.0002846338,0.0000657809,0.000008585764,7.683025e-7,0.00003460327,0.0001590798,0.9960123,0.0009750587],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002596697,0.0009408965,0.00003312721,0.0003728272,0.001260731,0.000517755,0.9963303,0.0003639964,0.0001543638],"genre_scores_gemma":[0.000003066842,0.0004016425,0.0000554474,0.0002296621,0.00235462,0.00003610078,0.9953543,0.0002877429,0.001277438],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01901857,"threshold_uncertainty_score":0.9995183,"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."}}