{"id":"W1996736221","doi":"10.1577/m06-011.1","title":"Effectiveness of Enforcement to Deter Illegal Angling Harvest of Northern Pike in Alberta","year":2007,"lang":"en","type":"article","venue":"North American Journal of Fisheries Management","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Alberta Environment and Protected Areas","funders":"Alberta Conservation Association","keywords":"Enforcement; Punishment (psychology); Fishing; Business; Deterrence theory; Law enforcement; Fishery; Warning signs; Perception; Geography; Psychology; Political science; Social psychology; Law; Engineering; Transport engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0006650796,0.0001640906,0.000137985,0.0003075706,0.0005752495,0.0006103212,0.0002249496,0.0001359553,0.0009352807],"category_scores_gemma":[0.001871633,0.0001059772,0.00009702848,0.000189646,0.0005149679,0.0001779064,0.0003191083,0.000164447,0.00006936377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002056433,"about_ca_system_score_gemma":0.001130041,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2460435,"about_ca_topic_score_gemma":0.5802167,"domain_scores_codex":[0.9994462,0.0001141428,0.00002107883,0.00005328833,0.0002833783,0.00008199451],"domain_scores_gemma":[0.9985618,0.0002744572,0.0005854885,0.00005595806,0.0002593567,0.0002628833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004536212,0.0002647302,0.9688156,0.00003756858,0.00006487536,0.0001339809,0.001734738,0.0006695286,0.00853126,0.00008155116,0.0002264947,0.0189862],"study_design_scores_gemma":[0.000004093214,0.0001391835,0.9984555,0.000003757469,0.000006540637,0.00001331105,0.0007173052,0.0002346264,0.0002142568,0.00001341059,0.0001954165,0.000002609754],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991775,0.00001998805,0.00002978735,0.00001026247,4.890352e-7,0.000002805021,0.000004991686,0.000001552474,0.0007525241],"genre_scores_gemma":[0.9995925,0.00002488078,0.00009972403,0.000007933209,7.919629e-7,0.000001559947,0.00001528283,5.023438e-7,0.0002567727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7539566,"threshold_uncertainty_score":0.4892227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004593543298026162,"score_gpt":0.2054562511662505,"score_spread":0.2008627078682243,"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."}}