{"id":"W7159895112","doi":"","title":"Perspectives on park performance : differences between park users and civil servants regarding Angrignon Park, Montréal","year":2025,"lang":"en","type":"other","venue":"EspaceINRS (National Institute for Scientific Research (Canada))","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Civil servants; Civil servant; Public servant; Civil service","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001901524,0.0003452803,0.0003202088,0.001687389,0.003718821,0.00350032,0.0008528478,0.0003128558,0.004974907],"category_scores_gemma":[0.003144731,0.0002513547,0.0003037856,0.002471171,0.003337657,0.00135911,0.002004675,0.0005831879,0.000304207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01231995,"about_ca_system_score_gemma":0.008118359,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8076617,"about_ca_topic_score_gemma":0.9296274,"domain_scores_codex":[0.9983088,0.0004188291,0.00005974468,0.0001688621,0.0005058125,0.0005380376],"domain_scores_gemma":[0.9974209,0.0005128681,0.0004189915,0.0001035754,0.0009902124,0.0005534514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009581314,0.00005345941,0.6914747,0.0001751236,0.00007547013,0.0003748842,0.2796804,0.0002578922,0.001610453,0.00159371,0.001408282,0.02319978],"study_design_scores_gemma":[0.000002453508,0.00005179876,0.7138925,0.00007427704,0.0000218448,0.00005522212,0.2785872,0.0001888799,0.0002295596,0.00009169235,0.006772092,0.00003249534],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920087,0.0002223091,0.0001753045,0.0003771516,0.000007010508,0.00001772214,0.0002598801,0.000005316524,0.006926644],"genre_scores_gemma":[0.9975429,0.0002518814,0.0001222315,0.0000469166,0.000003547895,0.00001505839,0.0001553475,0.000006233791,0.001855974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1923383,"threshold_uncertainty_score":0.3869421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05326430056263599,"score_gpt":0.3144557075632228,"score_spread":0.2611914070005869,"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."}}