{"id":"W2734665685","doi":"10.1186/s12942-017-0096-6","title":"Is gentrification all bad? Positive association between gentrification and individual’s perceived neighborhood collective efficacy in Montreal, Canada","year":2017,"lang":"en","type":"article","venue":"International Journal of Health Geographics","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Douglas Mental Health University Institute; McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Gentrification; Collective efficacy; Population; Public health; Demography; Sociology; Geography; Demographic economics; Economic growth; Economics; Medicine; Social science","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":[0.002844504,0.0001187755,0.0003148176,0.0003234674,0.0008838843,0.0003146467,0.0005698404,0.0001433913,0.00002942542],"category_scores_gemma":[0.001541028,0.000123295,0.00008104937,0.0001437342,0.00008528327,0.0004462208,0.00003916263,0.0003768595,0.000001172201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001903296,"about_ca_system_score_gemma":0.003245873,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7389919,"about_ca_topic_score_gemma":0.6430728,"domain_scores_codex":[0.9968789,0.0004595345,0.0008233368,0.0001850081,0.001253784,0.0003994173],"domain_scores_gemma":[0.9959941,0.0007041393,0.001910198,0.0001292223,0.0009846173,0.0002777488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003234934,0.00007688471,0.9729384,0.00001054148,0.0002032814,0.00000669989,0.0112227,0.000004313315,5.596011e-7,0.0007402574,0.002881433,0.01188255],"study_design_scores_gemma":[0.001048824,0.00004364937,0.9878377,0.0001064814,0.00003225642,0.000002156014,0.00196955,0.00002509698,0.000002990726,0.0009962975,0.007836829,0.00009819547],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8427569,0.0008221034,0.00006889494,0.15389,0.001012315,0.0003939909,0.0001991105,0.000006460714,0.0008502015],"genre_scores_gemma":[0.9899337,0.00546681,0.00007460619,0.003927937,0.0004140695,0.000005121125,0.00003273631,0.000008158506,0.0001368504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.149962,"threshold_uncertainty_score":0.6798213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0441068189328758,"score_gpt":0.3624329483761279,"score_spread":0.3183261294432521,"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."}}