{"id":"W6978157688","doi":"10.7944/p9ryfm7j","title":"Application of mixed-stock analysis for Yukon River chum salmon","year":2023,"lang":"en","type":"other","venue":"FWS DOI Tool Production Environment","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fishing; Subsistence agriculture; Stock (firearms); Fisheries management; Fish stock; Oncorhynchus","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":[0.00197685,0.0005073456,0.0003760406,0.002470983,0.0007060835,0.001135333,0.0006076406,0.0002269213,0.005707801],"category_scores_gemma":[0.004385392,0.0002387032,0.0006499719,0.001652876,0.0001687301,0.0004789447,0.0008001049,0.0002731669,0.0009867981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008513741,"about_ca_system_score_gemma":0.001902379,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1175541,"about_ca_topic_score_gemma":0.1861905,"domain_scores_codex":[0.9991554,0.0002514582,0.0001100484,0.000184558,0.000199414,0.0000991671],"domain_scores_gemma":[0.9983132,0.0004644243,0.0001598627,0.0002327944,0.0007306959,0.0000991198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002225186,0.00008082906,0.8683694,0.00007572087,0.0004529961,0.0003579894,0.000240147,0.004974326,0.004308017,0.001398168,0.003088156,0.1164317],"study_design_scores_gemma":[0.00002227677,0.0002400698,0.8594022,0.00005331057,0.0002174278,0.0002096817,0.001321205,0.1236492,0.00353347,0.00117468,0.01012957,0.00004683731],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8241909,0.0004854249,0.1458757,0.000240169,0.0001413161,0.0008474769,0.01507175,0.001328499,0.01181876],"genre_scores_gemma":[0.929633,0.0001104196,0.05969504,0.00004275142,0.00001501433,0.0003702291,0.00487841,0.0001836249,0.005071655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8824459,"threshold_uncertainty_score":0.2337397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01500925150503075,"score_gpt":0.2362192432802952,"score_spread":0.2212099917752645,"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."}}