{"id":"W7133278466","doi":"","title":"White Hake stock assessment","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":"Fisheries and Oceans Canada","keywords":"Hake; Stock (firearms); Fishing; Stock assessment; Fish stock; Mortality rate; Predation","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":[0.0003001876,0.0004488529,0.0002494781,0.001870478,0.0005878404,0.0003935533,0.0006472332,0.0002337658,0.01445048],"category_scores_gemma":[0.0007166776,0.0001341771,0.0002351096,0.0006171733,0.0001045469,0.0004889349,0.0005137307,0.0002938882,0.003715239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004907316,"about_ca_system_score_gemma":0.0009823153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04850098,"about_ca_topic_score_gemma":0.1892005,"domain_scores_codex":[0.999827,0.000008791182,0.00002229178,0.00002421358,0.00008142499,0.00003638423],"domain_scores_gemma":[0.9995377,0.00001143124,0.00009448677,0.00001752732,0.0002840561,0.00005476799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002473633,0.0002103064,0.7934472,0.000271931,0.0000868119,0.0006250471,0.0004545329,0.0008665196,0.001354579,0.001505447,0.07653852,0.1243917],"study_design_scores_gemma":[0.00002782225,0.0001789057,0.9039308,0.0002840764,0.00004960685,0.0005149491,0.0009387149,0.001721549,0.0009816075,0.0005200729,0.09081674,0.0000352158],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.757592,0.001359887,0.002492597,0.000564903,0.0002109311,0.002264634,0.08712866,0.0002823857,0.148104],"genre_scores_gemma":[0.7187487,0.001776614,0.007340634,0.0004536591,0.0000757748,0.001529531,0.1108114,0.00005783994,0.1592059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04850098,"threshold_uncertainty_score":0.09643734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01048353457312322,"score_gpt":0.2620412225032864,"score_spread":0.2515576879301631,"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."}}