{"id":"W4311681284","doi":"10.22215/etd/2022-15251","title":"A Tale of Two Fisheries: Exploring Angler Behaviour that Informs Different Management and Conservation Goals","year":2022,"lang":"en","type":"dissertation","venue":"","topic":"Recreation, Leisure, Wilderness Management","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Recreation; Fishing; Sustainability; Fisheries management; Fishery; Recreational fishing; Business; Psychological intervention; Environmental resource management; Pleasure; Competition (biology); Environmental planning; Turnover; Geography; Psychology; Ecology; Economics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00021265,0.0004078254,0.0005230845,0.0004199743,0.0001331424,0.00008312236,0.0002822795,0.0001258937,0.007570402],"category_scores_gemma":[0.000005953075,0.0003784961,0.0001262645,0.0002132647,0.00004264263,0.0003310945,0.0001359053,0.0002084834,0.00002205355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001172035,"about_ca_system_score_gemma":0.00001437867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002246342,"about_ca_topic_score_gemma":0.001243153,"domain_scores_codex":[0.9978591,0.000083652,0.0006483236,0.0005480274,0.0005627578,0.0002981781],"domain_scores_gemma":[0.9986182,0.00006965583,0.0005757535,0.0005919757,0.00007657426,0.00006776828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002127689,0.0003199588,0.9331406,0.000737752,0.0006412534,0.00002063113,0.008326983,0.000007959479,0.00001370317,0.02945178,0.008189688,0.01893689],"study_design_scores_gemma":[0.001193049,0.0001106853,0.951829,0.0001239759,0.0003211303,0.000001804544,0.03451982,0.00001137644,0.0002133646,0.0004790324,0.01080336,0.0003934503],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8788837,0.0002210243,0.0001352917,0.00007577803,0.001483148,0.001363256,0.00002512236,0.0001070847,0.1177056],"genre_scores_gemma":[0.7736253,0.0004887098,0.0002199348,0.00004755737,0.00004901989,0.003193047,0.003125326,0.00008676766,0.2191643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1052584,"threshold_uncertainty_score":0.9998667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06111874030413856,"score_gpt":0.3185742893460038,"score_spread":0.2574555490418653,"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."}}