{"id":"W3038417203","doi":"10.1522/revueot.v29n2.1152","title":"Revitalisation urbaine et gentrification positive : le cas du Cinéma Beaubien à Rosemont","year":2020,"lang":"fr","type":"article","venue":"Revue Organisations & territoires","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Political science; Gentrification; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00185569,0.0004393305,0.0003953232,0.0007645441,0.01018649,0.006339069,0.0008228241,0.002111824,0.01248588],"category_scores_gemma":[0.003128682,0.0001782604,0.0002696976,0.0006060717,0.009752792,0.002269436,0.003719653,0.003004292,0.0005968109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009180658,"about_ca_system_score_gemma":0.003979576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1139757,"about_ca_topic_score_gemma":0.1690399,"domain_scores_codex":[0.9980145,0.001003274,0.00001219002,0.0001362904,0.0002645495,0.0005692078],"domain_scores_gemma":[0.9983607,0.000826853,0.0001594858,0.00008583978,0.0002331706,0.0003339406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008909917,0.00008826014,0.003032826,0.0002913119,0.00001964095,0.001788925,0.5519578,0.0002011929,0.001331283,0.3881608,0.01677937,0.03625958],"study_design_scores_gemma":[0.00001516837,0.00009039463,0.02354265,0.0005520637,0.00003596421,0.0007522494,0.3477019,0.0003730905,0.0007604099,0.01092669,0.6152075,0.00004185487],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4400402,0.006394571,0.001115906,0.03218022,0.0006170657,0.00005123507,0.00005165435,0.00004630769,0.5195028],"genre_scores_gemma":[0.9510224,0.00125282,0.0002224908,0.0009818469,0.00009977896,0.00002251426,0.00001221926,0.00002536808,0.04636052],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1139757,"threshold_uncertainty_score":0.2266245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02861794715666303,"score_gpt":0.2490095530922128,"score_spread":0.2203916059355498,"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."}}