{"id":"W2155314865","doi":"10.1016/j.ijmedinf.2005.05.009","title":"Clinical information technology in hospitals: A comparison between the state of Iowa and two provinces in Canada","year":2005,"lang":"en","type":"article","venue":"International Journal of Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal","funders":"Agency for Healthcare Research and Quality; Iowa Department of Public Health","keywords":"Sophistication; Generalizability theory; Health care; Sample (material); Quality (philosophy); Health informatics; Medicine; Business; Nursing; Psychology; Public health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001063139,0.0002339952,0.0004286072,0.003008682,0.004409127,0.003585564,0.001244527,0.0006881341,0.001669017],"category_scores_gemma":[0.00628044,0.0004235113,0.0005423793,0.01044148,0.001797494,0.0007714755,0.00196537,0.0009215078,0.0001452483],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04754918,"about_ca_system_score_gemma":0.06717574,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941165,"about_ca_topic_score_gemma":0.9978649,"domain_scores_codex":[0.9969953,0.0003951813,0.0002381657,0.0002429557,0.0009694393,0.00115887],"domain_scores_gemma":[0.9893563,0.001271726,0.001589032,0.0001968305,0.004504179,0.003081962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000156592,0.00007726889,0.9913201,0.00004057945,0.0000568565,0.0001250777,0.002692987,0.0002275957,0.0002587442,0.0005933781,0.0005847658,0.003866132],"study_design_scores_gemma":[0.00001370502,0.00003243129,0.9863091,0.00004847747,0.00002391979,0.00005355262,0.01189324,0.0003700814,0.0000919568,0.00005112152,0.001098117,0.00001419191],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950989,0.0004139864,0.00008964336,0.0008069256,0.000008690516,0.00003920383,0.0009408453,0.000005476838,0.002596318],"genre_scores_gemma":[0.9980044,0.0003546808,0.0001562757,0.0001599766,0.000003196498,0.00001486851,0.0004924368,0.000004271094,0.0008098719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9524508,"threshold_uncertainty_score":0.3449951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03666934722423624,"score_gpt":0.4729904571292893,"score_spread":0.436321109905053,"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."}}