{"id":"W2145503750","doi":"10.1108/ijhrh-01-2014-0002","title":"Challenges in recruiting hard-to-reach populations focusing on Latin American recent immigrants","year":2015,"lang":"en","type":"article","venue":"International Journal of Human Rights in Healthcare","topic":"HIV, Drug Use, Sexual Risk","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Public Health; McMaster University; Toronto Metropolitan University","funders":"","keywords":"Immigration; Originality; Latin Americans; Deportation; Census; Refugee; Selection (genetic algorithm); Geography; Public relations; Psychology; Political science; Population; Sociology; Demography; Social psychology; Computer science; Law","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":[0.05634332,0.0006171733,0.0007920216,0.001248893,0.004810357,0.003652998,0.003216211,0.001638791,0.01430849],"category_scores_gemma":[0.06574391,0.0006369876,0.0005388334,0.0009865528,0.001598321,0.002350615,0.004007082,0.001489326,0.003728867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001409617,"about_ca_system_score_gemma":0.01180418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01034403,"about_ca_topic_score_gemma":0.02503491,"domain_scores_codex":[0.9691955,0.02499185,0.001513084,0.0008285971,0.00216306,0.001307925],"domain_scores_gemma":[0.9704825,0.01514267,0.003236289,0.002607144,0.005459874,0.003071519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001690707,0.003617189,0.222266,0.008131607,0.0002777211,0.00572045,0.2098372,0.0007859144,0.008097832,0.008823181,0.06259727,0.4681549],"study_design_scores_gemma":[0.00130324,0.009731239,0.2041477,0.02477953,0.0003360396,0.004518881,0.4585003,0.003161177,0.00435204,0.01819341,0.2706494,0.0003270135],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7705966,0.006974118,0.03292013,0.06910221,0.002987558,0.05653678,0.001728438,0.0002912132,0.05886292],"genre_scores_gemma":[0.6880522,0.009005665,0.08349834,0.05055818,0.001571641,0.1517311,0.0008331829,0.000162435,0.01458723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05634332,"threshold_uncertainty_score":0.2979756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4118544769758333,"score_gpt":0.4868953057125115,"score_spread":0.07504082873667822,"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."}}