{"id":"W2942733342","doi":"10.1186/s12874-019-0683-2","title":"Barriers and recruitment strategies for precarious status migrants in Montreal, Canada","year":2019,"lang":"en","type":"article","venue":"BMC Medical Research Methodology","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Political science; Gerontology","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":[0.01361937,0.0007039197,0.0006430182,0.00182221,0.02404542,0.004712933,0.003772411,0.00164561,0.005705556],"category_scores_gemma":[0.0221788,0.0005136149,0.0004828415,0.002183268,0.003911354,0.001489323,0.005322371,0.001132573,0.0004506915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04915025,"about_ca_system_score_gemma":0.1657462,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.937471,"about_ca_topic_score_gemma":0.9721439,"domain_scores_codex":[0.9930381,0.002881624,0.0002666334,0.0004375968,0.0008566958,0.002519403],"domain_scores_gemma":[0.9907244,0.00279638,0.001012262,0.0002450158,0.002386107,0.002835789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000360812,0.0003317221,0.1343238,0.001687016,0.00004493323,0.004417388,0.7408466,0.0003785456,0.002362303,0.004152832,0.01821646,0.09287757],"study_design_scores_gemma":[0.00006854356,0.0003457321,0.1066133,0.0023763,0.00005095401,0.0003123606,0.8408561,0.0005687327,0.0005452814,0.0008195821,0.04734332,0.00009982973],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9626825,0.002735189,0.001793848,0.01397186,0.000249536,0.004292089,0.000554024,0.0000756013,0.01364543],"genre_scores_gemma":[0.9747365,0.002462846,0.006221095,0.004223048,0.0000420925,0.003446648,0.0002784022,0.00003314473,0.008556352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06252897,"threshold_uncertainty_score":0.3566117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4356824742123948,"score_gpt":0.5534045438975003,"score_spread":0.1177220696851055,"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."}}