{"id":"W3015086528","doi":"10.12775/qs.2020.002","title":"Development and management of outdoor recreation: The case of Quebec","year":2020,"lang":"en","type":"article","venue":"Quality in Sport","topic":"Recreation, Leisure, Wilderness Management","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski; Université du Québec à Trois-Rivières; Université du Québec à Montréal","funders":"Université du Québec à Montréal","keywords":"Recreation; Promotion (chess); Subsidy; Government (linguistics); Business; Environmental planning; Order (exchange); Local government; Perspective (graphical); Environmental resource management; Economic growth; Geography; Political science; Economics; Public administration; Finance","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":[0.0009386925,0.0001063106,0.000259585,0.00004604346,0.0000305237,0.00000766492,0.0001407476,0.00004586485,0.0002381759],"category_scores_gemma":[0.000009341753,0.00008641403,0.00003320267,0.0002339867,0.0000846183,0.00004647963,0.00007467791,0.00006267469,0.00001588038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003719467,"about_ca_system_score_gemma":0.0000248698,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009377814,"about_ca_topic_score_gemma":0.004244382,"domain_scores_codex":[0.9986764,0.00008604247,0.0006954413,0.0002500356,0.0001687829,0.0001233121],"domain_scores_gemma":[0.9992627,0.00004717108,0.0002756343,0.0003271322,0.00004360253,0.00004374446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001694714,0.0002385037,0.6321577,0.0006390588,0.0002421611,0.0004629907,0.02990904,0.00002483398,0.000006410427,0.2494136,0.0008263516,0.08590986],"study_design_scores_gemma":[0.0006351976,0.00002503484,0.9537687,0.00005557527,0.00003962396,0.00001158314,0.0201654,0.00001174387,0.00014957,0.0001511015,0.02487192,0.0001145956],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816595,0.0001226882,0.0004230864,0.001349475,0.00009513467,0.0005485842,0.000003466924,0.00001783466,0.01578029],"genre_scores_gemma":[0.9957333,0.00003391691,0.002185214,0.00007117591,0.00002201746,0.00007611199,0.00001678528,0.000009175158,0.00185233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3216109,"threshold_uncertainty_score":0.9972188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0852718174463888,"score_gpt":0.3757663843135559,"score_spread":0.2904945668671671,"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."}}