{"id":"W2123882766","doi":"10.1111/fme.12003","title":"Estimating recreational harvest using interview‐based recall survey: implication of recalling in weight or numbers","year":2012,"lang":"en","type":"article","venue":"Fisheries Management and Ecology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Western Grains Research Foundation","keywords":"Recreation; Recall; Statistics; Recreational fishing; Psychology; Demography; Geography; Mathematics; Biology; Ecology; Cognitive psychology; Sociology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005835759,0.0001921351,0.0001627692,0.0008021272,0.0001652339,0.0004254358,0.0003712575,0.0002364603,0.001313359],"category_scores_gemma":[0.02800546,0.0001222172,0.0003195891,0.0008902352,0.0002598803,0.0004674107,0.0003814559,0.0002383594,0.0003673853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002439966,"about_ca_system_score_gemma":0.0002242878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004114314,"about_ca_topic_score_gemma":0.004095566,"domain_scores_codex":[0.9955817,0.003335245,0.0003363958,0.0001981529,0.000439259,0.0001093457],"domain_scores_gemma":[0.9733777,0.01879562,0.004279315,0.001271758,0.002055739,0.0002199409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003017586,0.00009875218,0.9784364,0.00006836718,0.00007339284,0.00003209936,0.0004794992,0.0008898764,0.0004495815,0.0001357198,0.0002651111,0.01876935],"study_design_scores_gemma":[0.00002211718,0.001442298,0.976608,0.0001107543,0.0001422302,0.0002086118,0.003671122,0.01286299,0.002961839,0.0005376863,0.00140002,0.00003230089],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869277,0.0001181573,0.01006765,0.00007334328,0.00001068993,0.0001250484,0.000676322,0.00001084844,0.00199021],"genre_scores_gemma":[0.9949009,0.00007428728,0.004056147,0.00004427254,0.000007602107,0.0001061355,0.0004416734,0.000001587815,0.0003672647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005835759,"threshold_uncertainty_score":0.03086281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1795224796000756,"score_gpt":0.2586825665785756,"score_spread":0.07916008697850002,"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."}}