{"id":"W4231830422","doi":"10.1515/iupac.81.0063","title":"Anadromy","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; Philosophy; Linguistics","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":[0.001626241,0.001956653,0.001338094,0.005128257,0.001618988,0.004428019,0.002755897,0.002112808,0.1851669],"category_scores_gemma":[0.01265011,0.000751437,0.00175982,0.008682111,0.0005670881,0.003640614,0.003742205,0.00203212,0.2589634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001647324,"about_ca_system_score_gemma":0.003340217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01430577,"about_ca_topic_score_gemma":0.03904009,"domain_scores_codex":[0.9974968,0.000511614,0.000362448,0.0008002229,0.0005115666,0.0003173543],"domain_scores_gemma":[0.9948936,0.001544397,0.0004564888,0.001358518,0.001302693,0.0004443514],"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":[0.00006241162,0.00001470531,0.000917696,0.0007348118,0.0000177192,0.00002224048,0.00004231101,0.0001329031,0.00008644486,0.0009192316,0.9927537,0.004295756],"study_design_scores_gemma":[0.00007966268,0.00001109333,0.001616194,0.0003435366,0.00001416419,0.00005571937,0.00008319487,0.0002120915,0.0001152088,0.001667726,0.9957837,0.00001773098],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001565942,0.0001365378,0.0001359886,0.0001734678,0.00004846859,0.00002092917,0.9964203,0.000587965,0.002319827],"genre_scores_gemma":[0.0004710958,0.0001427915,0.0005841273,0.0001748938,0.00001619827,0.0001394207,0.9968266,0.0001812414,0.001463507],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1851669,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01574098707442523,"score_gpt":0.4218979503367132,"score_spread":0.406156963262288,"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."}}