{"id":"W2757680597","doi":"10.1186/s12889-017-4730-9","title":"An intervention strategy for improving residential environment and positive mental health among public housing tenants: rationale, design and methods of Flash on my neighborhood!","year":2017,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Participatory Visual Research Methods","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Université de Montréal; Institut National de la Recherche Scientifique; Wilfrid Laurier University; Université du Québec à Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Public housing; Mental health; Public health; Participatory action research; Outreach; Built environment; Public relations; Community-based participatory research; Population; Action plan; Medicine; Environmental health; Nursing; Economic growth; Political science; Engineering; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0130558,0.001851699,0.001140069,0.002148095,0.005023273,0.001971381,0.004131132,0.002310082,0.008420973],"category_scores_gemma":[0.005522818,0.0007866233,0.001518671,0.001306738,0.004321624,0.001408079,0.004893721,0.002459612,0.0007111047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0120783,"about_ca_system_score_gemma":0.05472107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04844831,"about_ca_topic_score_gemma":0.1183596,"domain_scores_codex":[0.9908235,0.006177846,0.0003369207,0.0007823845,0.0009135247,0.0009659404],"domain_scores_gemma":[0.9972606,0.0008696389,0.0001995623,0.000172043,0.0006339665,0.0008641803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.004653016,0.03138291,0.01356933,0.02240632,0.0003976759,0.001805659,0.06225917,0.004528763,0.007935666,0.05622396,0.01873624,0.7761013],"study_design_scores_gemma":[0.03594799,0.07380971,0.1054273,0.02712906,0.004591745,0.001759275,0.1387618,0.01508893,0.02486268,0.05439938,0.5173237,0.000898402],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"empirical","genre_scores_codex":[0.0991438,0.001570326,0.08791945,0.007919272,0.0004918058,0.7738717,0.001657436,0.0003807484,0.02704553],"genre_scores_gemma":[0.08342542,0.001139262,0.2654547,0.001752179,0.00004542501,0.6424216,0.0003482597,0.00002801579,0.005385101],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04844831,"threshold_uncertainty_score":0.09633267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5229804318801603,"score_gpt":0.614191488603799,"score_spread":0.09121105672363872,"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."}}