{"id":"W4403240239","doi":"","title":"La diffusion de l'événementiel à Montréal par les Sociétés de Développement Commercial (SDC) : de l'événementiel ordinaire aux aménagements urbains pour une ville festive et sécurisée","year":2024,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001644018,0.0003983372,0.0002016747,0.002046115,0.002893384,0.005355015,0.0008349733,0.0006238814,0.01284511],"category_scores_gemma":[0.005428751,0.0002562101,0.0004094944,0.002935059,0.0018524,0.001852995,0.002372924,0.001199594,0.0005954647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02584483,"about_ca_system_score_gemma":0.02414205,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9351722,"about_ca_topic_score_gemma":0.9456114,"domain_scores_codex":[0.9988612,0.000189155,0.0000339058,0.0001756136,0.0003810785,0.0003590898],"domain_scores_gemma":[0.9957177,0.0006523026,0.0005425746,0.0001618862,0.001856597,0.00106898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004857884,0.0002243479,0.4974882,0.0004700984,0.000161128,0.0008669031,0.08897394,0.00270144,0.01159864,0.04992016,0.01230127,0.3348081],"study_design_scores_gemma":[0.00001753726,0.0001397904,0.8610488,0.0001631956,0.00004979975,0.00008496491,0.03087213,0.001366495,0.00175514,0.0006371542,0.1037835,0.00008138557],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9151204,0.00146688,0.003154614,0.005254938,0.0001137366,0.0001821879,0.00174535,0.0001514077,0.07281038],"genre_scores_gemma":[0.9725417,0.0005018234,0.001145348,0.0001463899,0.00002119352,0.00004555577,0.0002156626,0.00003137264,0.02535093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0648278,"threshold_uncertainty_score":0.1875182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03533377753330148,"score_gpt":0.3367967919248243,"score_spread":0.3014630143915228,"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."}}