{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01333834,0.0001453281,0.000468772,0.0002477544,0.0001110352,0.00002029011,0.0002610522,0.0003493564,0.003201996],"category_scores_gemma":[0.0122742,0.0001227962,0.00003591701,0.0002610582,0.0002460866,0.0000485581,0.00006346717,0.0006615645,0.0000274004],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002005607,"about_ca_system_score_gemma":0.008417626,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9075429,"about_ca_topic_score_gemma":0.9962121,"domain_scores_codex":[0.9887309,0.008039795,0.0004885466,0.000587431,0.0007884764,0.00136485],"domain_scores_gemma":[0.9730958,0.02519979,0.00005971519,0.0003561382,0.0001468037,0.001141807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006019735,0.0002046285,0.4265517,0.001297521,0.0001742046,0.0002013367,0.04121589,0.00003096225,0.0001352108,0.04851146,0.09173264,0.3839247],"study_design_scores_gemma":[0.009738483,0.002059423,0.7368093,0.0001554336,0.00001767611,0.00005517388,0.06118352,0.001422355,0.00005243076,0.0287715,0.1593284,0.0004062707],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983183,0.003876795,0.004307914,0.001299121,0.0009046476,0.002446375,0.00005523677,0.00001722952,0.003909708],"genre_scores_gemma":[0.9873598,0.0006198516,0.007196457,0.0007716013,0.000151464,0.001413935,0.0000365009,0.00002637586,0.002424039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3835184,"threshold_uncertainty_score":0.9977092,"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."}}