{"id":"W2417520259","doi":"10.1055/s-0038-1634321","title":"Reflections on an Arranged Marriage between Bioinformatics and Health Informatics","year":2003,"lang":"en","type":"article","venue":"Methods of Information in Medicine","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Canadian Institutes of Health Research; Université de Sherbrooke","keywords":"Informatics; Excellence; Agency (philosophy); Health informatics; Data science; Health informatics tools; Translational bioinformatics; Center of excellence; Service (business); Genomics; Health care; Medicine; Library science; Bioinformatics; Political science; Computer science; Genome; Sociology; Biology; Social science; Genetics; Business","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006137431,0.0001903858,0.0003932884,0.0005124788,0.0001063228,0.00002407545,0.0002124689,0.000195429,0.00002841718],"category_scores_gemma":[0.001862768,0.0001510086,0.00004007695,0.0003670288,0.0003050416,0.0000678475,0.00005739268,0.0002497308,0.00000719446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003907774,"about_ca_system_score_gemma":0.0001757363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003833363,"about_ca_topic_score_gemma":0.00002105855,"domain_scores_codex":[0.9972893,0.0002782344,0.001557185,0.00009120881,0.0004382202,0.0003458283],"domain_scores_gemma":[0.9985403,0.0001039052,0.0004852873,0.0004022685,0.0001820563,0.0002861299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002050681,0.0002029238,0.006117002,0.002271342,0.0001554399,4.840924e-7,0.03049865,0.0003258488,0.004708665,0.005909,0.008677253,0.9409283],"study_design_scores_gemma":[0.01438212,0.019356,0.04426393,0.00112693,0.00009236672,0.00007919616,0.06560398,0.01002102,0.07561069,0.006736747,0.7610744,0.001652668],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08573682,0.0003624719,0.8508617,0.002229669,0.0005844631,0.001412511,0.00007721595,0.00004597223,0.05868923],"genre_scores_gemma":[0.1719745,0.002218802,0.8213309,0.003448742,0.000186746,0.00003830692,0.0006707482,0.00002045065,0.000110773],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9392757,"threshold_uncertainty_score":0.6157954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09440189529439155,"score_gpt":0.4722199562108022,"score_spread":0.3778180609164107,"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."}}