{"id":"W2089936823","doi":"10.1080/02755947.2013.785996","title":"Linking Fish and Angler Dynamics to Assess Stocking Strategies for Hatchery-Dependent, Open-Access Recreational Fisheries","year":2013,"lang":"en","type":"article","venue":"North American Journal of Fisheries Management","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Ministry of Environment; University of British Columbia; Ministry of Forests","funders":"","keywords":"Stocking; Fishery; Hatchery; Recreational fishing; Fishing; Productivity; Fisheries management; Rainbow trout; Recreation; Environmental science; Fish <Actinopterygii>; Ecology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0003756857,0.000247501,0.0004256262,0.0001168208,0.0004102194,0.00116746,0.001033577,0.00002948832,0.0005363489],"category_scores_gemma":[0.00004189631,0.00022967,0.00006410292,0.0003485671,0.000392347,0.003027487,0.00176713,0.0001547278,0.000009831277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002136909,"about_ca_system_score_gemma":0.00002106553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004014217,"about_ca_topic_score_gemma":0.01232205,"domain_scores_codex":[0.9983469,0.00005807645,0.0004937704,0.0003548729,0.0003460785,0.0004002537],"domain_scores_gemma":[0.9988958,0.0001153386,0.0005454719,0.0002099614,0.00008421826,0.000149159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001261143,0.00008677242,0.8185536,0.00005741524,0.000255367,0.00001699922,0.0004924592,0.001020597,0.000001882244,0.0004451806,0.09240396,0.08653972],"study_design_scores_gemma":[0.0004728335,0.0006036596,0.9601397,0.00004233317,0.00008939338,0.000007468291,0.005573966,0.0002000932,0.000003028059,0.002295043,0.03027675,0.000295706],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9232532,0.00000766158,0.03531875,0.01217829,0.0003517913,0.001449826,0.00002149908,0.00003302905,0.02738598],"genre_scores_gemma":[0.9555638,0.0002369578,0.03248079,0.008886306,0.0001058597,0.0004208553,0.0000256352,0.00004310975,0.002236686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1415862,"threshold_uncertainty_score":0.9998694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03502969212031272,"score_gpt":0.2855757219261353,"score_spread":0.2505460298058226,"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."}}