{"id":"W2758214715","doi":"10.1080/02755947.2017.1383325","title":"Understanding How Angler Characteristics and Context Influence Angler Preferences for Fishing Sites","year":2017,"lang":"en","type":"article","venue":"North American Journal of Fisheries Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Energy, Northern Development and Mines; Ministry of Natural Resources and Forestry; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fishing; TRIPS architecture; Context (archaeology); Fishery; Recreational fishing; Catch and release; Preference; Geography; Recreation; Fisheries management; Fish <Actinopterygii>; Ecology; Transport engineering; Statistics; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003164159,0.0001204473,0.0003461482,0.0000895622,0.0002820355,0.0004262892,0.0002479538,0.00001883243,0.00003779862],"category_scores_gemma":[0.00007907039,0.0001269175,0.0000653024,0.00002774939,0.0002742447,0.0008827643,0.00008375735,0.00008057685,0.00000419538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001299298,"about_ca_system_score_gemma":0.000004969147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003026316,"about_ca_topic_score_gemma":0.00008681142,"domain_scores_codex":[0.9992024,0.000008802181,0.0003900838,0.0001822055,0.00004278631,0.0001736996],"domain_scores_gemma":[0.9981923,0.00003991698,0.001480629,0.0001948753,0.00001995536,0.00007237411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003334241,0.00001699056,0.9758809,0.00003283026,0.0001038332,0.000002682834,0.0003971853,0.00001762235,0.000001094736,0.001815316,0.000572234,0.02112603],"study_design_scores_gemma":[0.0003885061,0.0002591774,0.9884145,0.00002317772,0.00002295069,0.00000286714,0.001378493,0.0001562323,0.000002734095,0.002191631,0.007010215,0.0001495488],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908289,0.00009749836,0.005987325,0.001512911,0.0001658662,0.0001556469,0.00005456946,0.000004768472,0.001192493],"genre_scores_gemma":[0.9969612,0.0007210821,0.001746625,0.0002725814,0.00007451112,0.000009508901,0.000007391957,0.00001292076,0.0001941656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02097648,"threshold_uncertainty_score":0.5175545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1742836837380473,"score_gpt":0.2281508163666917,"score_spread":0.05386713262864445,"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."}}