{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002839012,0.00009693144,0.0002705073,0.0001629439,0.0002686247,0.000004598494,0.0003923089,0.0003471631,0.006502431],"category_scores_gemma":[0.001754847,0.00007454029,0.00003692262,0.0002345361,0.0001700952,0.0001333501,0.0002075525,0.0006448095,0.007503633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006918491,"about_ca_system_score_gemma":0.0006770475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006264172,"about_ca_topic_score_gemma":0.00003033118,"domain_scores_codex":[0.9966418,0.00008098306,0.001384395,0.00005473397,0.001382657,0.0004554058],"domain_scores_gemma":[0.9980689,0.0003397494,0.0002967163,0.0002879526,0.0002587781,0.0007479605],"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":[0.0001257813,0.00006788251,0.002846087,0.002795007,0.00003320575,0.000002140281,0.07476147,0.000002724326,0.0000124753,0.04966725,0.7903904,0.07929552],"study_design_scores_gemma":[0.001053816,0.0004204035,0.001593779,0.001314059,0.000009393256,0.000002630565,0.004772377,0.01165213,0.00008908384,0.0005992299,0.9783349,0.0001582105],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2205531,0.00003277945,0.05766158,0.01864388,0.005488848,0.001422559,0.0000230867,0.0003218754,0.6958523],"genre_scores_gemma":[0.8392683,0.0002067336,0.02903891,0.1159752,0.008196145,0.0001754899,0.00005342174,0.00005275405,0.007033107],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6888192,"threshold_uncertainty_score":0.9944057,"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."}}