{"id":"W3136710772","doi":"10.1111/faf.12545","title":"Recreational angler satisfaction: What drives it?","year":2021,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Recreation, Leisure, Wilderness Management","field":"Psychology","cited_by":150,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry","funders":"Bundesministerium für Bildung und Forschung; Marketing Science Institute","keywords":"Crowding; Recreation; Fishing; Recreational fishing; Catch and release; Quality (philosophy); Perception; Fish <Actinopterygii>; Fishery; Psychology; Fisheries management; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007690962,0.0001306406,0.0001592608,0.00004157542,0.0001532679,0.0003364489,0.00005540694,0.00009324308,0.01352203],"category_scores_gemma":[0.00003022045,0.0001346731,0.00004425243,0.0001390828,0.0001023142,0.0006866765,0.00004649505,0.00008499414,0.00008887714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002031455,"about_ca_system_score_gemma":0.00002645122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000955281,"about_ca_topic_score_gemma":0.0005445034,"domain_scores_codex":[0.9990587,0.00008662035,0.0001862516,0.0003321386,0.0001562202,0.0001801047],"domain_scores_gemma":[0.9994353,0.00008495159,0.00006236775,0.0002527334,0.00009716132,0.00006746066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002938662,0.00004179294,0.6823259,0.00001990129,0.0001101668,0.00003336784,0.002181601,0.000001123866,0.00001060506,0.006469218,0.2208882,0.0878887],"study_design_scores_gemma":[0.0002377527,0.00002397158,0.6476654,0.00002740017,0.00001820522,0.00001964802,0.003831773,0.000003067449,0.00003665711,0.0009221034,0.3471063,0.0001076981],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5992782,0.001858086,0.0009919262,0.03821333,0.003286877,0.0003348629,0.00003393445,0.0001973733,0.3558055],"genre_scores_gemma":[0.8194665,0.00532037,0.002221092,0.004402758,0.001283922,0.0003486467,0.000654195,0.0000773502,0.1662252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2201884,"threshold_uncertainty_score":0.9873797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02733617102308892,"score_gpt":0.2786809059833815,"score_spread":0.2513447349602925,"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."}}