{"id":"W2754977491","doi":"","title":"Coaster Brook Trout Rehabilitation in Canadian Waters of Lake Superior. Challenges and Success","year":2012,"lang":"en","type":"article","venue":"AFS 142nd Annual Meeting","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Trout; Roller coaster; Fishery; Geography; Fish <Actinopterygii>; Engineering; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002165037,0.0003854026,0.0003295929,0.0005611628,0.00556697,0.002098676,0.001233797,0.0008512257,0.001801679],"category_scores_gemma":[0.002971971,0.0001680441,0.0003133522,0.001117884,0.001767641,0.0007780318,0.001897885,0.0006145674,0.0002056671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03050578,"about_ca_system_score_gemma":0.1255087,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9739146,"about_ca_topic_score_gemma":0.9960288,"domain_scores_codex":[0.9980603,0.0002107231,0.00006869982,0.0001105266,0.0006124784,0.000937284],"domain_scores_gemma":[0.997666,0.00009102669,0.0001451833,0.00004799752,0.001047232,0.00100258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001024105,0.0007167383,0.6179612,0.0007872311,0.0001777493,0.001514526,0.01567391,0.002277433,0.00833812,0.003531574,0.02169534,0.326302],"study_design_scores_gemma":[0.0000539773,0.0005303124,0.9303337,0.0002624077,0.00007078576,0.0002649751,0.02592977,0.001406508,0.0009035769,0.0004290666,0.03976445,0.00005049229],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698023,0.002829193,0.000223333,0.008283793,0.00007441093,0.0001555833,0.0002915529,0.00004832015,0.01829145],"genre_scores_gemma":[0.9883341,0.001976421,0.0008463993,0.0008342301,0.00002403555,0.00004939914,0.0002801199,0.00001017323,0.00764525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03050578,"threshold_uncertainty_score":0.2213359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007518884143325417,"score_gpt":0.2131760556579284,"score_spread":0.205657171514603,"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."}}