{"id":"W7133279909","doi":"","title":"Georges Bank Atlantic Cod 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":"Fishing; Stock (firearms); Population; Fish stock; Climate change; Limiting; Sea surface temperature; 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":[0.0008275108,0.0003443478,0.0001722086,0.001457458,0.0006751669,0.0007631875,0.00066884,0.0003280206,0.01859826],"category_scores_gemma":[0.001314532,0.0001063182,0.0002336849,0.0008247013,0.0001733596,0.0004806489,0.0006999056,0.0005383319,0.008274047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001588017,"about_ca_system_score_gemma":0.003715939,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2244541,"about_ca_topic_score_gemma":0.3702343,"domain_scores_codex":[0.9995393,0.00002327042,0.00003625349,0.00004167795,0.0002986373,0.00006094916],"domain_scores_gemma":[0.9988507,0.00002253323,0.00007916341,0.00003584382,0.0008866453,0.0001251626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001650517,0.00006193567,0.2112849,0.000232291,0.00005174612,0.0002575029,0.0002885728,0.0004788035,0.0005415402,0.003786232,0.6172399,0.1656116],"study_design_scores_gemma":[0.00003073596,0.0001092079,0.3921824,0.0008732402,0.00003800948,0.0002630334,0.0008899891,0.001018777,0.0005167435,0.00144944,0.6025953,0.00003327085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1510539,0.001902734,0.001901795,0.005485911,0.001337675,0.001126044,0.1696292,0.0005920418,0.6669707],"genre_scores_gemma":[0.3435767,0.004031452,0.008683974,0.003905594,0.0002276478,0.001410341,0.2384836,0.0002165014,0.3994642],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7755459,"threshold_uncertainty_score":0.4462953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008895597880687818,"score_gpt":0.2554159856847764,"score_spread":0.2465203878040886,"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."}}