{"id":"W2280417684","doi":"","title":"Life History, Maternal Quality and the Dynamics of Harvested Fish Stocks","year":2010,"lang":"en","type":"dissertation","venue":"Library and Archives Canada (Government of Canada)","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère des Ressources Naturelles et de la Faune; University of Toronto; Michigan Department of Natural Resources; Ministry of Natural Resources","keywords":"Biology; Fish stock; Population; Reproduction; Longevity; Ecology; Reproductive value; Life history; Stock assessment; Density dependence; Offspring; Age structure; Life history theory; Demography; Fishery; Fish <Actinopterygii>; Fishing","routes":{"ca_aff":false,"ca_fund":true,"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":[0.001231621,0.0001380208,0.0002204398,0.0004475168,0.0002585849,0.0007556374,0.0002881709,0.000221705,0.001230876],"category_scores_gemma":[0.003531318,0.0002250852,0.0004395701,0.0006533499,0.0003059787,0.0005802145,0.0003698878,0.0002651893,0.0001485716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004717759,"about_ca_system_score_gemma":0.0002716281,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004985762,"about_ca_topic_score_gemma":0.01155355,"domain_scores_codex":[0.999818,0.00004791207,0.00002264264,0.00005934875,0.00003217232,0.00001990226],"domain_scores_gemma":[0.9985321,0.0006105239,0.0005804829,0.0001031292,0.00008245783,0.00009121838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005877878,0.00001500204,0.9825382,0.00008898579,0.0006511514,0.00009554178,0.0002232812,0.002042058,0.002128431,0.001324715,0.0001371518,0.01069673],"study_design_scores_gemma":[0.000003011207,0.00003993664,0.9957572,0.00002156301,0.0001168993,0.00004715106,0.00009867179,0.002526971,0.0002623445,0.0006457242,0.0004755679,0.000005084653],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966776,0.001555027,0.0008436895,0.0001045815,0.000005047426,0.000002296061,0.0002058614,0.000004602581,0.0006013205],"genre_scores_gemma":[0.9976216,0.00108292,0.0005681696,0.00002643413,0.000006240762,0.000004876346,0.0002105678,0.000004257778,0.0004749559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9950143,"threshold_uncertainty_score":0.009913445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003929792083029095,"score_gpt":0.1541560845161349,"score_spread":0.1502262924331058,"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."}}