{"id":"W2943207071","doi":"10.25646/5874","title":"Improving the information base regarding the health of people with a migration background. Project description and initial findings from IMIRA","year":2019,"lang":"en","type":"article","venue":"PubMed","topic":"Health and Medical Studies","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bundesministerium für Gesundheit","keywords":"Immigration; Population; Test (biology); Quarter (Canadian coin); Gerontology; Psychology; Medicine; Political science; Environmental health; Geography","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":[0.05871886,0.0007097468,0.0008107508,0.003479227,0.002740377,0.002046287,0.002407231,0.001049486,0.01061699],"category_scores_gemma":[0.04002533,0.0007218189,0.0009559846,0.002734654,0.0009842733,0.001570391,0.006946111,0.001617943,0.001921933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003541561,"about_ca_system_score_gemma":0.02818565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03414541,"about_ca_topic_score_gemma":0.04272617,"domain_scores_codex":[0.9852349,0.009753532,0.0007292677,0.0005644046,0.002143156,0.00157476],"domain_scores_gemma":[0.9766153,0.00631336,0.002044496,0.001849937,0.008157638,0.005019266],"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":[0.001863407,0.008355832,0.1796935,0.01082075,0.0002547336,0.0005785467,0.05901053,0.001197448,0.004555625,0.003782881,0.04452489,0.6853618],"study_design_scores_gemma":[0.001417065,0.007022757,0.7077329,0.007184657,0.0004919352,0.0006642288,0.07836701,0.001853004,0.004991755,0.001410342,0.1887091,0.000155332],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6666119,0.004542608,0.01327826,0.02328659,0.0002853666,0.1665738,0.05058676,0.000665025,0.0741698],"genre_scores_gemma":[0.6284162,0.005850632,0.1233632,0.00518562,0.000199561,0.1859789,0.03064626,0.0001961664,0.02016343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05871886,"threshold_uncertainty_score":0.3105387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07202622489593358,"score_gpt":0.3359350104696654,"score_spread":0.2639087855737318,"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."}}