{"id":"W2963248064","doi":"10.1371/journal.pone.0220107","title":"La Maison Bleue: Strengthening resilience among migrant mothers living in Montreal, Canada","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Computer Research Institute of Montréal; McGill University","funders":"","keywords":"Resilience (materials science); Geography; Gerontology; Medicine; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007977867,0.0002841433,0.0001901229,0.0004766313,0.009947111,0.001343292,0.001216797,0.0004527099,0.005011259],"category_scores_gemma":[0.001522928,0.0001836684,0.0002254052,0.000602653,0.001439085,0.0005011291,0.002295699,0.0006571268,0.0001907839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02822072,"about_ca_system_score_gemma":0.06422371,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9760537,"about_ca_topic_score_gemma":0.9918948,"domain_scores_codex":[0.9994738,0.0001226263,0.00000733437,0.00003569406,0.00006112364,0.0002994924],"domain_scores_gemma":[0.9990138,0.00007637179,0.0000679209,0.00001656224,0.000208397,0.0006169415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005462165,0.0003288779,0.3692517,0.0009860115,0.0000870535,0.01202236,0.3569489,0.0005727942,0.005706789,0.006035014,0.06218453,0.1853297],"study_design_scores_gemma":[0.00004260011,0.0002718165,0.3864358,0.001055409,0.00005525042,0.0008888342,0.4742607,0.0002547987,0.0005924072,0.0004574172,0.1356094,0.00007564732],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9687665,0.003724656,0.0003591181,0.01029335,0.0001730841,0.0002198063,0.0005286579,0.00004712168,0.01588778],"genre_scores_gemma":[0.9859331,0.002417128,0.0009460178,0.001349625,0.00002605858,0.0001055538,0.000173212,0.00001735025,0.009031946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02822072,"threshold_uncertainty_score":0.2047567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0176061731635972,"score_gpt":0.2455181934937831,"score_spread":0.227912020330186,"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."}}