{"id":"W1543447953","doi":"10.1136/jamia.2002.0090409","title":"American College of Medical Informatics Fellows and International Associates, 2001","year":2002,"lang":"en","type":"article","venue":"Journal of the American Medical Informatics Association","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Informatics; Medical school; Research center; Political science; Medical education; Medicine; Computer science; 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":[],"consensus_categories":[],"category_scores_codex":[0.004291615,0.001020675,0.0006399829,0.004501802,0.001984909,0.006458115,0.001571265,0.002954358,0.2792105],"category_scores_gemma":[0.01478044,0.0007097289,0.0004855613,0.005364675,0.001109071,0.006308957,0.00462894,0.004446815,0.2316044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001502478,"about_ca_system_score_gemma":0.006539193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002206278,"about_ca_topic_score_gemma":0.005028882,"domain_scores_codex":[0.9974787,0.0004587679,0.0002925555,0.0003274326,0.001060433,0.0003822242],"domain_scores_gemma":[0.9901928,0.001194195,0.0005032918,0.001005245,0.00395419,0.003150268],"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":[0.00001180676,0.00003237589,0.0003446252,0.00005745158,0.000001724763,0.00003836188,0.0000743834,0.00001569167,0.00006211801,0.003550854,0.8605716,0.1352391],"study_design_scores_gemma":[0.000003506794,0.000004710926,0.0004151039,0.0001013542,0.000001183525,0.0001282239,0.00006387218,0.00002144232,0.00002327355,0.001088136,0.9981458,0.000003335673],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001551931,0.03073068,0.01047349,0.08801862,0.03475401,0.0005507029,0.003292339,0.002418546,0.8282096],"genre_scores_gemma":[0.005650318,0.02619616,0.01113559,0.01364909,0.005308556,0.0006131856,0.003711803,0.000678898,0.9330564],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2792105,"threshold_uncertainty_score":0.9340521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01296708532550859,"score_gpt":0.2698905005307008,"score_spread":0.2569234152051922,"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."}}