{"id":"W4239068861","doi":"10.1055/s-0038-1667097","title":"Welcome to IMIA!","year":2018,"lang":"en","type":"article","venue":"Yearbook of Medical Informatics","topic":"Medical Coding and Health Information","field":"Health Professions","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001694438,0.001357009,0.0008648773,0.001870603,0.003476529,0.01450774,0.001727307,0.004144057,0.7806625],"category_scores_gemma":[0.01116548,0.0006423885,0.0008228057,0.001498208,0.0006663403,0.006598155,0.007046252,0.004009381,0.7863322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001581535,"about_ca_system_score_gemma":0.003949023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002243743,"about_ca_topic_score_gemma":0.004774544,"domain_scores_codex":[0.9983132,0.0002523834,0.00006398655,0.0002341153,0.0006603045,0.0004759876],"domain_scores_gemma":[0.9910765,0.0003365572,0.0003256408,0.0004102486,0.002365342,0.005485704],"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":[0.00001027866,0.00001285994,0.00003845314,0.0000246876,6.226258e-7,0.00002048282,0.00002232861,0.00000376947,0.00003960407,0.0003628695,0.9895294,0.009934695],"study_design_scores_gemma":[0.000003075579,0.000005601193,0.0001121254,0.00002428789,5.647398e-7,0.00002203807,0.00007138756,0.000008873812,0.00002624359,0.00008587856,0.999637,0.000002856259],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.0008672131,0.002560035,0.000798913,0.0374292,0.04643937,0.0003786,0.003186072,0.005130432,0.9032102],"genre_scores_gemma":[0.001668653,0.000780069,0.0004584543,0.007387952,0.005027137,0.0001597151,0.001560099,0.001036367,0.9819216],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.7806625,"threshold_uncertainty_score":0.3128582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2514829573058496,"score_gpt":0.5059084280300535,"score_spread":0.254425470724204,"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."}}