{"id":"W4220797022","doi":"10.3390/ijerph19073752","title":"Adjusting the Canadian Healthcare System to Meet Newcomer Needs","year":2022,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Government of Saskatchewan; Canadian Institutes of Health Research; Saskatchewan Health Research Foundation; University of Saskatchewan","keywords":"Health care; Cultural competence; General partnership; Public relations; Immigration; Service provider; Business; Nursing; Population; Competence (human resources); Service (business); Medicine; Psychology; Political science; Marketing; Environmental health","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":[0.006306671,0.0004034615,0.0003288337,0.001531551,0.02114537,0.007137479,0.003016965,0.002819125,0.009429295],"category_scores_gemma":[0.01162529,0.0003123519,0.0005875002,0.002337859,0.004868279,0.002696439,0.008006459,0.002532664,0.0009134053],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1078839,"about_ca_system_score_gemma":0.2751347,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9786362,"about_ca_topic_score_gemma":0.9931797,"domain_scores_codex":[0.9893581,0.002556349,0.0002462804,0.0006594414,0.002055272,0.005124678],"domain_scores_gemma":[0.9888242,0.0007038829,0.0004643512,0.0003234983,0.003605037,0.006079093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002030997,0.000348813,0.1748448,0.0009932045,0.0001937239,0.004858984,0.1673109,0.002652042,0.004890367,0.06705859,0.2760225,0.300623],"study_design_scores_gemma":[0.00007219093,0.0001621569,0.1579892,0.000872431,0.00008133583,0.0007811923,0.2405897,0.001233299,0.0005242992,0.006192126,0.5912012,0.0003008044],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4395497,0.006061612,0.004477123,0.2998667,0.002074532,0.0006004119,0.001267561,0.0003299585,0.2457724],"genre_scores_gemma":[0.9281137,0.004060757,0.009647725,0.02907319,0.0002342275,0.0002123748,0.0004191248,0.0001247641,0.02811414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8921161,"threshold_uncertainty_score":0.782756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1966935019704307,"score_gpt":0.48893191197464,"score_spread":0.2922384100042093,"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."}}