{"id":"W2193156529","doi":"10.1139/cjfas-2015-0093","title":"The early life-history dynamics of Northeast Arctic cod: levels of natural mortality and abundance during the first 3 years of life","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gadus; Arctic; Abundance (ecology); Stock assessment; Demography; Fishery; Ecology; Geography; Biology; Fish <Actinopterygii>; Fishing","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":[0.0004721473,0.000127098,0.0001329074,0.0005787715,0.0003808461,0.0003446867,0.0002445984,0.0002190321,0.0005252215],"category_scores_gemma":[0.0009910492,0.0001114293,0.0001914372,0.0003003267,0.0002463582,0.0002555811,0.0002941618,0.0001919879,0.0001648816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005638674,"about_ca_system_score_gemma":0.0003399534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03252624,"about_ca_topic_score_gemma":0.09098367,"domain_scores_codex":[0.9998626,0.00001819305,0.00001138147,0.00003984687,0.00003309148,0.00003492311],"domain_scores_gemma":[0.9993173,0.00008154773,0.0003074209,0.00003230414,0.0001389607,0.0001224827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004749025,0.00001774625,0.9957628,0.000005882358,0.00001596775,0.00002620173,0.0002010627,0.00008834874,0.001785628,0.00002298071,0.00003749043,0.001988304],"study_design_scores_gemma":[1.069735e-7,0.000005735704,0.9998713,6.635387e-7,6.862418e-7,0.00001082491,0.00002748772,0.00003180071,0.00002736294,0.000002880275,0.00002050371,6.880662e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995241,0.00006553744,0.00004056046,0.000006308624,5.731567e-7,0.000001014903,0.0001622855,0.000001228884,0.0001984438],"genre_scores_gemma":[0.9993186,0.00005141475,0.00007191858,0.000006837814,0.000001681098,0.000004013037,0.0003695381,9.371804e-7,0.0001749722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03252624,"threshold_uncertainty_score":0.06467378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03546489255170261,"score_gpt":0.2270063379141127,"score_spread":0.1915414453624101,"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."}}