{"id":"W7133275924","doi":"","title":"IF Steelhead Migration Speed, Route, and Run Timing","year":2024,"lang":"en","type":"other","venue":"Federal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trout; Fishing; Rainbow trout; Habitat; Fish migration","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":[0.001125262,0.000322945,0.0002936177,0.0008257987,0.0004174141,0.0009829346,0.0003916809,0.0003626182,0.005331884],"category_scores_gemma":[0.006143455,0.0002449719,0.0004632403,0.001177885,0.000344307,0.0006436776,0.0003507616,0.0003710369,0.0007569034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002573624,"about_ca_system_score_gemma":0.003920006,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4741979,"about_ca_topic_score_gemma":0.6735043,"domain_scores_codex":[0.9993863,0.0001079118,0.00003486862,0.0001854526,0.0001410953,0.0001443147],"domain_scores_gemma":[0.9984583,0.000435508,0.0004548554,0.0001252887,0.0004234797,0.0001026169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001795397,0.00002222425,0.9511617,0.00004594554,0.00009481872,0.0001133707,0.0002107217,0.02763022,0.0007237784,0.001379566,0.001380206,0.01705798],"study_design_scores_gemma":[0.00001252795,0.00009333013,0.9701137,0.00003331987,0.00006525188,0.00008329677,0.0005411826,0.02367851,0.000520126,0.001055616,0.003780141,0.00002291911],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698182,0.0001922286,0.008781326,0.0002758658,0.00002325868,0.00009673369,0.006250554,0.0001637687,0.01439815],"genre_scores_gemma":[0.9881769,0.0001309898,0.003636239,0.00003510968,0.000005888066,0.00004079278,0.002748925,0.00004950588,0.0051756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5258021,"threshold_uncertainty_score":0.9428756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0117240581781871,"score_gpt":0.2451737870561723,"score_spread":0.2334497288779852,"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."}}