{"id":"W6998608898","doi":"","title":"Analyzing a Sport for development program’s logic model with key actors’
\\nperceptions: The case of Pour 3 Points organization in Montreal","year":2022,"lang":"en","type":"other","venue":"Archipelago (University of Quebec in Montreal)","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Key (lock); Work (physics); Logic model; Perception; Socioeconomic status; Organizational structure","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":[0.00245098,0.0003949875,0.0001489109,0.001077949,0.005070423,0.004752224,0.001687895,0.0007210521,0.007307951],"category_scores_gemma":[0.004127738,0.0002860762,0.0004377313,0.001301559,0.002961979,0.001620591,0.001729924,0.0009388886,0.0002414755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0701643,"about_ca_system_score_gemma":0.03606968,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.927061,"about_ca_topic_score_gemma":0.9556938,"domain_scores_codex":[0.9982114,0.0007174965,0.00003236566,0.000174039,0.0002864046,0.000578322],"domain_scores_gemma":[0.9970899,0.001153362,0.0002980686,0.0001375027,0.0007493722,0.0005717365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005360304,0.001193011,0.3750791,0.0004616207,0.0001684152,0.008296797,0.09303804,0.0927794,0.006515131,0.2908245,0.01549328,0.1156147],"study_design_scores_gemma":[0.0002082123,0.0006576507,0.2398592,0.000457586,0.0002615061,0.0004106187,0.3475259,0.2425598,0.003157678,0.02123393,0.1435011,0.0001667588],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.916321,0.0001375109,0.008739368,0.002983606,0.00001539725,0.0004438795,0.0003236445,0.00007749632,0.07095809],"genre_scores_gemma":[0.9873911,0.00008255334,0.00511924,0.00009260273,0.000002899461,0.00007102068,0.0001829696,0.00001428758,0.00704333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07293898,"threshold_uncertainty_score":0.5090801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02345792204337188,"score_gpt":0.2608788901246183,"score_spread":0.2374209680812465,"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."}}