{"id":"W2148442405","doi":"10.1139/f03-142","title":"Test fishery indices for sockeye salmon (<i>Oncorhynchus nerka</i>) as affected by age composition and environmental variables","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Alaska Department of Fish and Game","keywords":"Oncorhynchus; Fishing; Fishery; Bay; Environmental science; Index (typography); Catch per unit effort; Fish <Actinopterygii>; Statistics; Geography; Biology; Mathematics; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.000932241,0.0004089513,0.0002663087,0.0006336337,0.0001968769,0.0003876784,0.0001433024,0.0001846187,0.0004483325],"category_scores_gemma":[0.002962573,0.0001621341,0.0003136293,0.0004133922,0.0002389569,0.0004020417,0.0003012576,0.0002184665,0.0001430157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003840663,"about_ca_system_score_gemma":0.0001700868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01203669,"about_ca_topic_score_gemma":0.0336382,"domain_scores_codex":[0.9998291,0.00003449581,0.0000169628,0.00004500178,0.00004904082,0.00002552903],"domain_scores_gemma":[0.9979556,0.000825123,0.0007748487,0.0001020427,0.0002496263,0.00009279355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003918391,0.000009339973,0.9882141,0.000008076747,0.00005031261,0.00005287853,0.0000614001,0.004041468,0.00198503,0.00004340773,0.0000871695,0.005407568],"study_design_scores_gemma":[9.31055e-7,0.00003423221,0.9920574,0.000001560458,0.0000132313,0.00006561276,0.00004817627,0.007009676,0.0006020214,0.00007470636,0.00008661116,0.000005952837],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980807,0.00007529862,0.001066028,0.00002046709,0.000005018805,0.000003354919,0.0002757832,0.0000211159,0.0004521185],"genre_scores_gemma":[0.998362,0.00005334751,0.0008688311,0.00001077546,0.000003785957,0.000003477689,0.0004783094,0.000008579598,0.0002109072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01203669,"threshold_uncertainty_score":0.02393323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00984839699917317,"score_gpt":0.2121901969864125,"score_spread":0.2023417999872394,"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."}}