{"id":"W3121402093","doi":"10.17269/cjph.107.5271","title":"What leads to homeless shelter re-entry? An exploration of the psychosocial, health, contextual and demographic factors","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Psychosocial; Multinomial logistic regression; Context (archaeology); Logistic regression; Descriptive statistics; Sample (material); Demography; Psychology; Gerontology; Medicine; Geography; Psychiatry; Sociology","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":[0.001801499,0.0002232469,0.0003968566,0.00114566,0.003511215,0.003647564,0.001196333,0.001289769,0.005999298],"category_scores_gemma":[0.008228118,0.0003545359,0.0007124233,0.00184206,0.002312106,0.002699108,0.002629782,0.002552499,0.0002995352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003712205,"about_ca_system_score_gemma":0.007732588,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1054778,"about_ca_topic_score_gemma":0.1874945,"domain_scores_codex":[0.9984264,0.0004738157,0.000114334,0.0001264317,0.0002294407,0.0006295251],"domain_scores_gemma":[0.99576,0.001158483,0.001388811,0.000111659,0.0004395267,0.001141402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009252552,0.0004051474,0.9726768,0.00005990412,0.00005201985,0.0006178797,0.01670907,0.00003901848,0.00004756936,0.001140996,0.001021423,0.007137692],"study_design_scores_gemma":[0.000008401642,0.00009126234,0.8268285,0.0002334111,0.00005334674,0.000525441,0.1696034,0.0001600197,0.00004126872,0.0007084155,0.001722204,0.00002439154],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891675,0.001585177,0.00005078794,0.005349122,0.0000361681,0.00003194062,0.0001365552,0.000003418593,0.003639328],"genre_scores_gemma":[0.9984573,0.00081068,0.00004437257,0.0002601316,0.00001788331,0.000008614279,0.00005753974,0.000002634192,0.0003408694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8945222,"threshold_uncertainty_score":0.2097276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.17302852349195,"score_gpt":0.4208969895212426,"score_spread":0.2478684660292926,"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."}}