{"id":"W1975370040","doi":"10.1186/1472-6963-11-s1-a15","title":"Incremental costs of hospital-acquired complications in Alberta, Canada","year":2011,"lang":"en","type":"article","venue":"BMC Health Services Research","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; University of Alberta","funders":"University of Alberta; Alberta Health Services","keywords":"Medicine; Health administration; Nursing research; Health informatics; Public health; Health economics; Harm; Medical emergency; Emergency medicine; Health services research; Medical diagnosis; Pain medicine; Intensive care medicine; Nursing; Anesthesiology; Psychiatry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008154654,0.0007519808,0.0006217086,0.002910719,0.001446161,0.003072338,0.002414642,0.0008972415,0.006841318],"category_scores_gemma":[0.004722648,0.0004579498,0.001033436,0.004834216,0.0007720123,0.0005438542,0.001128952,0.00151006,0.0003393398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1154246,"about_ca_system_score_gemma":0.09346963,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9971071,"about_ca_topic_score_gemma":0.9970382,"domain_scores_codex":[0.9985222,0.0001400476,0.00007321427,0.00009863365,0.0006462366,0.0005196831],"domain_scores_gemma":[0.9973683,0.0002853723,0.0002353733,0.00004357199,0.001438261,0.0006290181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001910031,0.0004055185,0.6989712,0.0009848633,0.001303096,0.002694362,0.0004864691,0.1108363,0.0008161274,0.02678252,0.06498788,0.08982169],"study_design_scores_gemma":[0.0006892125,0.0002910573,0.8581199,0.0008118372,0.001054269,0.001697805,0.002791697,0.09380252,0.0008818644,0.007713892,0.0318615,0.0002845261],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8619608,0.02090036,0.002127837,0.008802363,0.000595875,0.000294113,0.05752167,0.0003059776,0.04749115],"genre_scores_gemma":[0.9685633,0.007231236,0.001364192,0.0003623294,0.00007274508,0.00003356548,0.01155141,0.00003353175,0.01078788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1154246,"threshold_uncertainty_score":0.8374678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1226354327859366,"score_gpt":0.3645948218663798,"score_spread":0.2419593890804433,"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."}}