{"id":"W4389144070","doi":"10.61440/jmcns.2023.v1.21","title":"Introducing Electronic Health Records at a Public Tertiary-Level Hospital, Pakistan","year":2023,"lang":"en","type":"article","venue":"","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Tertiary level; Health records; Public health; Medicine; Family medicine; Medical emergency; Political science; Nursing; Psychology; Health care; Mathematics education","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008196458,0.0002740674,0.0001834421,0.0005220628,0.005037256,0.002217299,0.0008148188,0.001296551,0.01729182],"category_scores_gemma":[0.002761658,0.0004837312,0.0002919526,0.0007072857,0.001252421,0.001496224,0.001628957,0.002059488,0.002214557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005413551,"about_ca_system_score_gemma":0.01524318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02310948,"about_ca_topic_score_gemma":0.04154637,"domain_scores_codex":[0.9987815,0.0002523357,0.0001127695,0.0002326601,0.0003023353,0.0003184253],"domain_scores_gemma":[0.9959868,0.0003890705,0.0005557419,0.0001388769,0.0005092832,0.002420243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007659624,0.004064643,0.5336277,0.001218232,0.0001074276,0.1044611,0.025762,0.001300489,0.01233107,0.003571029,0.09542788,0.2173625],"study_design_scores_gemma":[0.0003096891,0.004710375,0.5656128,0.001636342,0.0001602853,0.0750629,0.1262954,0.003011568,0.005730877,0.003431606,0.2135705,0.0004676848],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9129511,0.001351087,0.003253532,0.05668326,0.001680313,0.0006202408,0.001024517,0.0003642374,0.02207175],"genre_scores_gemma":[0.9365845,0.003016583,0.008130917,0.01781346,0.0009789229,0.0001620416,0.0006032098,0.00008458114,0.03262583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02310948,"threshold_uncertainty_score":0.0578469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07382268531483316,"score_gpt":0.4322940414702491,"score_spread":0.358471356155416,"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."}}