{"id":"W1968143158","doi":"10.12927/hcq..18502","title":"Strong IT Effort Underpins MOE/MAR Success","year":2006,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Best practice; Public relations; Health care; Operations management; Business; Marketing; Engineering management; Process management; Management; Engineering; Political science; Economics; Economic growth","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":[0.02177014,0.0003149183,0.0003955965,0.002883958,0.004827279,0.009239383,0.001188396,0.002053159,0.01285077],"category_scores_gemma":[0.07166763,0.0004210008,0.000325096,0.002088188,0.005963089,0.003601188,0.00934898,0.003546431,0.002371541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003301228,"about_ca_system_score_gemma":0.01081988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005932053,"about_ca_topic_score_gemma":0.009898937,"domain_scores_codex":[0.9775549,0.007741156,0.0009879046,0.0009920952,0.006381048,0.006342969],"domain_scores_gemma":[0.9192075,0.02388519,0.01211243,0.005553171,0.01719428,0.02204749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004149241,0.001839773,0.3692762,0.000933144,0.0001337165,0.002596406,0.05006038,0.001037393,0.002566952,0.2428339,0.05748422,0.2708231],"study_design_scores_gemma":[0.00009315898,0.0008258125,0.517178,0.001358976,0.00006116978,0.001563486,0.0958867,0.002334398,0.001857512,0.04579929,0.3328803,0.0001612188],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6086087,0.001044792,0.008373418,0.04969098,0.0003340894,0.0005898552,0.0002717361,0.000421783,0.3306647],"genre_scores_gemma":[0.9889879,0.0002201018,0.001658396,0.00186768,0.0000826167,0.00009387232,0.00005341787,0.00005536524,0.006980691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02177014,"threshold_uncertainty_score":0.1151329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05047127466176877,"score_gpt":0.4215817518855879,"score_spread":0.3711104772238191,"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."}}