{"id":"W2175647504","doi":"10.1139/f2012-060","title":"Linking fishing mortality reference points to life history traits: an empirical study","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":151,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Maximum sustainable yield; Fishing; Statistics; Proxy (statistics); Mathematics; Fishery; Demography; Econometrics; Biology; Fisheries management; Sociology","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":[0.03239752,0.001256977,0.002232221,0.003201161,0.0005893655,0.001457237,0.001851678,0.00114087,0.002453947],"category_scores_gemma":[0.06962636,0.0008895145,0.007405919,0.005101851,0.001312854,0.001598487,0.00124933,0.001347344,0.0003181066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006101874,"about_ca_system_score_gemma":0.0005941964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007367806,"about_ca_topic_score_gemma":0.005129169,"domain_scores_codex":[0.9854382,0.009220856,0.001320283,0.002987952,0.0007668662,0.0002657655],"domain_scores_gemma":[0.8141823,0.151331,0.01324725,0.01680954,0.003735002,0.0006948973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000780031,0.00009959623,0.8945989,0.00170683,0.06906586,0.0002430709,0.0004918156,0.002926326,0.000561076,0.0006842437,0.0002950615,0.02854708],"study_design_scores_gemma":[0.0002709462,0.001884244,0.8561505,0.001599059,0.1001287,0.0009952135,0.001346454,0.02869304,0.001304724,0.00449347,0.00296184,0.0001718229],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9485095,0.02863334,0.02085627,0.0002675576,0.00004227429,0.00005915434,0.0006369658,0.00008413518,0.000910783],"genre_scores_gemma":[0.9940895,0.001423677,0.003898404,0.00005828527,0.00001819961,0.00002930588,0.0003572616,0.00002834484,0.00009707964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03239752,"threshold_uncertainty_score":0.1713365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08668282294912624,"score_gpt":0.2839664171454017,"score_spread":0.1972835941962754,"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."}}