{"id":"W2286135997","doi":"10.1002/jwmg.1020","title":"Mortality risks and limits to population growth of fishers","year":2015,"lang":"en","type":"article","venue":"Journal of Wildlife Management","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"University of California, Davis; U.S. Forest Service; U.S. Fish and Wildlife Service","keywords":"Population growth; Population; Geography; Demography; Fishery; Environmental science; Environmental health; Biology; Medicine; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006071569,0.000130185,0.00009088452,0.000460305,0.0002031438,0.0002390665,0.0001598298,0.0001586389,0.001020933],"category_scores_gemma":[0.002218127,0.00007657339,0.0001333691,0.0001150757,0.0002856189,0.0002483818,0.0003129447,0.0001421944,0.0001288779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003602402,"about_ca_system_score_gemma":0.0001661028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00666167,"about_ca_topic_score_gemma":0.009120215,"domain_scores_codex":[0.9998654,0.0000342269,0.00001049336,0.00002904955,0.00002879809,0.00003201356],"domain_scores_gemma":[0.9991372,0.0002555041,0.0003555329,0.0000339297,0.0001186649,0.00009916112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001047262,0.00001991315,0.9892607,0.000008215069,0.00002029307,0.00007267928,0.0001775062,0.001449826,0.001221205,0.0002941535,0.0002072465,0.007163552],"study_design_scores_gemma":[0.000004252162,0.0001081816,0.995434,0.00001304678,0.000007863674,0.0001746188,0.0002551004,0.002655342,0.000340357,0.0005995115,0.0004031526,0.00000467547],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987613,0.00008962113,0.0001476659,0.00004207619,0.000001026032,0.000001325418,0.00007413461,0.00000229315,0.0008804026],"genre_scores_gemma":[0.9996916,0.00003487158,0.00005429431,0.000004780878,0.000001901469,0.00000179167,0.0000534632,3.078322e-7,0.000157107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00666167,"threshold_uncertainty_score":0.01324582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06844768283302866,"score_gpt":0.2806758894274757,"score_spread":0.212228206594447,"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."}}