{"id":"W7133272313","doi":"","title":"Fraser Sockeye run size determination","year":2025,"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":"Fisheries and Oceans Canada","keywords":"Escapement; Stock (firearms); Stock assessment; Estimation; Process (computing); Documentation","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.00223044,0.0009325058,0.0003465913,0.002832478,0.0007990843,0.0009036254,0.001417672,0.0003278439,0.01917269],"category_scores_gemma":[0.005770863,0.0003777618,0.0005386088,0.001416969,0.0003007425,0.0006788497,0.0008256764,0.0004843308,0.01014041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001842943,"about_ca_system_score_gemma":0.003112602,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1165559,"about_ca_topic_score_gemma":0.3207117,"domain_scores_codex":[0.998476,0.0001322736,0.0001782891,0.0003711624,0.0007277775,0.0001145275],"domain_scores_gemma":[0.9925078,0.0004255842,0.0006862372,0.0003328511,0.005854687,0.0001929513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003479354,0.0001055694,0.3566681,0.0008217977,0.0001050397,0.0005443738,0.001354478,0.003969857,0.008855645,0.002968624,0.2102458,0.4140129],"study_design_scores_gemma":[0.00002747161,0.0002429152,0.6199451,0.0007554558,0.00007506781,0.0002749052,0.0011805,0.007742694,0.01031938,0.0005150749,0.3588003,0.0001211559],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4123037,0.001992845,0.1139347,0.001313477,0.00131732,0.006940458,0.1457038,0.006684694,0.309809],"genre_scores_gemma":[0.3954943,0.002947036,0.1825835,0.001006853,0.0002366086,0.007620224,0.120437,0.002111224,0.2875633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8834441,"threshold_uncertainty_score":0.231755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006598321991651778,"score_gpt":0.2375868132308458,"score_spread":0.230988491239194,"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."}}