{"id":"W2922835546","doi":"10.1073/pnas.1902796116","title":"Governing the recreational dimension of global fisheries","year":2019,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":305,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Carleton University; Ministry of Natural Resources and Forestry","funders":"","keywords":"Fishery; Recreation; Recreational fishing; Dimension (graph theory); Geography; Biology; Fish <Actinopterygii>; Ecology; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0007611114,0.00004941942,0.00008311158,0.0000107092,0.0001811713,0.000005239545,0.0004841021,0.00003165505,0.0002453619],"category_scores_gemma":[0.0002272997,0.00002703967,0.00003681719,0.0003777201,0.001141062,0.0002987632,0.000384324,0.0000551516,0.0000115289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000412366,"about_ca_system_score_gemma":0.000005338758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001559529,"about_ca_topic_score_gemma":0.000001338083,"domain_scores_codex":[0.9988857,0.00000515186,0.0001654759,0.0001313083,0.0007286712,0.00008369891],"domain_scores_gemma":[0.9995675,0.00009437509,0.0002926011,0.000006364501,0.00003131137,0.000007850436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001054522,0.00001951666,0.9403346,0.00001485401,0.00001152695,7.091277e-10,0.000102292,0.0003063353,0.01027018,0.03632429,0.01252084,0.00008500041],"study_design_scores_gemma":[0.00006859402,0.00003011125,0.9711443,0.00002072245,0.00000711564,7.716642e-7,0.0002395336,0.0002859585,0.005588755,0.02176109,0.0008212904,0.0000317726],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8952841,0.00001593813,3.150387e-7,0.005882488,0.00002058274,0.0001220305,0.000005786945,0.000003367029,0.09866539],"genre_scores_gemma":[0.9986188,0.000016071,0.0003823322,0.0004198533,0.000009667099,0.000003936481,5.369431e-8,8.874673e-7,0.0005484151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1033347,"threshold_uncertainty_score":0.4204291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878614668241532,"score_gpt":0.2527302549293199,"score_spread":0.2339441082469046,"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."}}