{"id":"W2423163542","doi":"10.1055/s-0038-1638547","title":"IMIA – A 40 Year Organizational Overview*","year":2007,"lang":"en","type":"article","venue":"Yearbook of Medical Informatics","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Medical Association","funders":"","keywords":"Key (lock); Political science; Health informatics; Library science; Public relations; Computer science; Computer security; Health care; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004887121,0.0001015723,0.0002564656,0.0001509023,0.0002109262,0.000004315104,0.0002958436,0.0004430067,0.007534203],"category_scores_gemma":[0.00188792,0.00008175964,0.00004122152,0.0002862069,0.0001150779,0.0001590709,0.0001376575,0.000807214,0.001679152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009684692,"about_ca_system_score_gemma":0.0009428385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003602607,"about_ca_topic_score_gemma":0.00001817939,"domain_scores_codex":[0.9961267,0.0000625413,0.001613367,0.0000528769,0.001707607,0.0004368801],"domain_scores_gemma":[0.9979571,0.0006087627,0.0004639238,0.0002114479,0.0002638877,0.0004948766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003039056,0.0002282815,0.03903908,0.00960797,0.0001009607,0.00001238455,0.05522665,0.00001160075,0.00002498516,0.4922333,0.3516078,0.0516031],"study_design_scores_gemma":[0.005421225,0.0003287312,0.03139859,0.003357036,0.00005119412,0.00001569282,0.01963002,0.01839805,0.0001985948,0.00435229,0.9163072,0.000541384],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1987773,0.0003284378,0.1293506,0.006611856,0.003200709,0.001592084,0.00004656493,0.0004546305,0.6596378],"genre_scores_gemma":[0.8866811,0.002009224,0.03960697,0.06071922,0.003954896,0.00005702141,0.0004358413,0.000103171,0.00643255],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6879038,"threshold_uncertainty_score":0.9990982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1958799435693422,"score_gpt":0.4764139918355708,"score_spread":0.2805340482662286,"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."}}