{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001802011,0.001353477,0.0008196982,0.001572036,0.003463914,0.01347359,0.001643599,0.004408474,0.7133431],"category_scores_gemma":[0.01001266,0.0005590536,0.0008320807,0.001287886,0.0006360927,0.005851808,0.006208766,0.004137898,0.6817503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002437986,"about_ca_system_score_gemma":0.006287709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004140872,"about_ca_topic_score_gemma":0.009738799,"domain_scores_codex":[0.997867,0.0002547977,0.00007260882,0.000276737,0.000920439,0.0006083574],"domain_scores_gemma":[0.9902871,0.0003006745,0.000295733,0.0003428828,0.002919379,0.005854238],"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":[0.000008830774,0.000009798257,0.00003902743,0.00002190211,6.459546e-7,0.00002197287,0.00001725712,0.00000465326,0.00004035729,0.0003953651,0.9911646,0.008275521],"study_design_scores_gemma":[0.000003237094,0.000005202725,0.0001202713,0.00002360058,6.567512e-7,0.00002433964,0.00006630097,0.00001031939,0.00002931216,0.00009847531,0.9996153,0.000002933144],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009863096,0.003267358,0.0008674188,0.05290078,0.06522091,0.0004352912,0.003957172,0.003578231,0.8687866],"genre_scores_gemma":[0.001753086,0.0009756584,0.0004136537,0.008428326,0.005454824,0.0001386479,0.001621869,0.0007231877,0.9804907],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7133431,"threshold_uncertainty_score":0.4088812,"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."}}