{"id":"W2087586315","doi":"10.1007/s12134-014-0396-7","title":"Predictors of Living in Precarious Housing Among Immigrants Accessing Housing Support Services","year":2014,"lang":"en","type":"article","venue":"Journal of International Migration and Integration / Revue de l integration et de la migration internationale","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; University of Toronto","funders":"","keywords":"Immigration; Vulnerability (computing); Logistic regression; Demographic economics; Geography; Economic growth; Medicine; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004104337,0.0003137879,0.0006158138,0.001118827,0.0002382232,0.0002633901,0.0004166171,0.0003673713,0.0002384505],"category_scores_gemma":[0.003095667,0.0002908512,0.0001928422,0.0003881502,0.0001478173,0.002110949,0.00007006789,0.0009444698,0.000004877767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006883608,"about_ca_system_score_gemma":0.0004076735,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005497689,"about_ca_topic_score_gemma":0.1044069,"domain_scores_codex":[0.9951244,0.001476628,0.002094053,0.00031302,0.0006882137,0.0003036718],"domain_scores_gemma":[0.9934147,0.002157659,0.002256201,0.0001702948,0.001852563,0.0001485806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001651751,0.0002432671,0.9009704,0.00009919014,0.00009659328,0.000005703981,0.0671426,0.00145589,0.0109236,0.01327743,0.0001666608,0.005453482],"study_design_scores_gemma":[0.001057987,0.0003437791,0.8688409,0.005025192,0.0000678567,0.00002207672,0.03115447,0.08430417,0.003786685,0.001388415,0.003646448,0.0003620296],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9204792,0.00012544,0.07285184,0.00103569,0.001111625,0.0003182623,0.00002572227,0.00004433038,0.004007883],"genre_scores_gemma":[0.9935725,0.001307191,0.003182256,0.0004818882,0.0008234232,0.00005493448,0.00009763228,0.00004448461,0.000435683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09890919,"threshold_uncertainty_score":0.9999543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02078774992365292,"score_gpt":0.3624527721342489,"score_spread":0.341665022210596,"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."}}