{"id":"W7133279835","doi":"","title":"Science response: 2022 stock status update for capelin in NAFO divisions 2J3KL","year":2023,"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":"Capelin; Stock (firearms); Stock assessment; Herring; Fishing","routes":{"ca_aff":false,"ca_fund":true,"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":[0.003218452,0.0006901017,0.0004881602,0.002296356,0.00208212,0.002413596,0.001109629,0.005076016,0.05780376],"category_scores_gemma":[0.01327816,0.0004273517,0.0004892253,0.001608149,0.0004544231,0.001114758,0.001672229,0.002614886,0.03493095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004841493,"about_ca_system_score_gemma":0.01383255,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1639162,"about_ca_topic_score_gemma":0.180303,"domain_scores_codex":[0.9967154,0.0002029564,0.0002308431,0.0001676238,0.00229642,0.0003868114],"domain_scores_gemma":[0.9781737,0.00154221,0.001155131,0.0006226173,0.01706377,0.001442644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00003694262,0.00001022249,0.0005685097,0.00005625351,0.000002301287,0.00005237666,0.00002326817,0.00002227985,0.0001794942,0.0001552415,0.9934949,0.005398246],"study_design_scores_gemma":[0.0000210227,0.00002673265,0.004429898,0.00008251483,0.000005302828,0.00001945981,0.0001039177,0.0000822714,0.0001979906,0.0001010962,0.9949167,0.00001307845],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01237354,0.002690082,0.001975562,0.3883526,0.09496885,0.002664385,0.202608,0.00415363,0.2902134],"genre_scores_gemma":[0.02549114,0.002608693,0.004582525,0.1199084,0.0122851,0.002456935,0.1066856,0.0009016774,0.7250799],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8360838,"threshold_uncertainty_score":0.3259243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01219481546546144,"score_gpt":0.2701196648608472,"score_spread":0.2579248493953857,"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."}}