{"id":"W7096474609","doi":"","title":"SOCIAL DETERMINANTS OF HEALTH, HEALTH SERVICE UTILIZATION","year":2014,"lang":"en","type":"article","venue":"","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Social determinants of health; Settlement (finance); Service provider; Health care; Language barrier; Service (business); Work (physics); Limited English proficiency","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002229044,0.0001535754,0.0002952917,0.002113154,0.002602438,0.002066984,0.0005200226,0.0006162599,0.00672518],"category_scores_gemma":[0.01291499,0.0002041891,0.0006170312,0.003431953,0.001233801,0.0006971618,0.001362041,0.001035146,0.0002785234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003018945,"about_ca_system_score_gemma":0.006014165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2843356,"about_ca_topic_score_gemma":0.2572399,"domain_scores_codex":[0.9971986,0.001139432,0.0002534433,0.0001389443,0.0004739539,0.000795659],"domain_scores_gemma":[0.9927736,0.002832117,0.00150765,0.0002391684,0.0006947133,0.001952853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002309743,0.0002331699,0.9893575,0.00007936082,0.00006389751,0.0001268089,0.001861931,0.0001413332,0.00002699614,0.0007572078,0.001007709,0.006321006],"study_design_scores_gemma":[0.000003913357,0.00005736685,0.99096,0.00009351472,0.00002252544,0.0001130691,0.006346091,0.0002432149,0.00001953263,0.0004115774,0.001718389,0.0000109774],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763641,0.002277524,0.0001339724,0.003433504,0.00004420646,0.0001286759,0.002525028,0.00001523958,0.01507774],"genre_scores_gemma":[0.9984564,0.0005830684,0.00008130197,0.0001508469,0.00001788296,0.00002968282,0.0002427479,0.00000271618,0.0004354029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2843356,"threshold_uncertainty_score":0.5653613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2548951886092893,"score_gpt":0.5487046300941308,"score_spread":0.2938094414848416,"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."}}