{"id":"W4250663784","doi":"10.1055/s-0039-1677955","title":"Welcome to IMIA","year":2019,"lang":"en","type":"article","venue":"Yearbook of Medical Informatics","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Officer; Library science; Political science; Management; Geography; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001081999,0.00008118386,0.0002527172,0.0001364208,0.00002307148,0.00002609068,0.0003854037,0.0001295952,0.001889373],"category_scores_gemma":[0.0005562468,0.00006387922,0.00004622012,0.000212362,0.0000420284,0.0002883973,0.0002901618,0.0001534855,0.005847403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001608963,"about_ca_system_score_gemma":0.00005710758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008662994,"about_ca_topic_score_gemma":0.00001286064,"domain_scores_codex":[0.9985328,0.000005372357,0.0005731666,0.00005255335,0.0005155611,0.0003205142],"domain_scores_gemma":[0.9994208,0.00006734551,0.000168883,0.0002033681,0.00007218966,0.00006742289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008863304,0.00002165909,0.001967592,0.0005715649,0.00001124974,7.925981e-7,0.0001217675,0.0001826808,0.000002470566,0.1839268,0.8086945,0.004490107],"study_design_scores_gemma":[0.0002393813,0.00001662172,0.001012415,0.00006274872,0.000003293288,0.000001168924,0.0002995452,0.02509931,0.000001150049,0.000665298,0.9725257,0.00007343227],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4362983,0.00002172309,0.0008357301,0.06051767,0.001925908,0.0004298279,0.000002866031,0.0001036022,0.4998644],"genre_scores_gemma":[0.5250848,0.00004555619,0.002299643,0.4675395,0.003663443,0.00001952339,0.0000315739,0.00003191473,0.00128408],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4985803,"threshold_uncertainty_score":0.999023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02512613703549217,"score_gpt":0.3062718828097146,"score_spread":0.2811457457742225,"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."}}