{"id":"W2333835259","doi":"10.1177/1355819615596542","title":"An evaluation tool for assessing performance in priority setting and resource allocation: multi-site application to identify strengths and weaknesses","year":2015,"lang":"en","type":"article","venue":"Journal of Health Services Research & Policy","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of British Columbia; Vancouver Coastal Health Research Institute; Vancouver Coastal Health","funders":"Canadian Institutes of Health Research","keywords":"Balanced scorecard; Strengths and weaknesses; Process management; Resource allocation; Computer science; Resource (disambiguation); Management science; Risk analysis (engineering); Knowledge management; Business; Engineering; Psychology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0971093,0.002184409,0.002236365,0.009938661,0.001520087,0.004100887,0.001829158,0.001272086,0.01373877],"category_scores_gemma":[0.1700294,0.001039226,0.002666514,0.009965079,0.001218963,0.004294257,0.004436045,0.001590824,0.001862732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00516752,"about_ca_system_score_gemma":0.00851187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002476116,"about_ca_topic_score_gemma":0.004216647,"domain_scores_codex":[0.9287577,0.04599201,0.011811,0.001918081,0.009885399,0.001635752],"domain_scores_gemma":[0.7451025,0.1981106,0.01314258,0.007887164,0.0335304,0.002226913],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002778577,0.003088423,0.04599525,0.00658372,0.0007964011,0.0004886462,0.008624587,0.009971162,0.003280733,0.006939626,0.05870423,0.8527487],"study_design_scores_gemma":[0.01056735,0.01828235,0.3914037,0.01347694,0.002338817,0.002449874,0.02536309,0.2158153,0.03266889,0.048832,0.2371878,0.001613791],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2902331,0.000874724,0.4999846,0.003540268,0.0007675983,0.1124987,0.02599275,0.01841944,0.04768877],"genre_scores_gemma":[0.1868661,0.0002930003,0.7423104,0.0002878359,0.00004631882,0.06393989,0.003600457,0.0004422718,0.002213646],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9028907,"threshold_uncertainty_score":0.5135692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3566073277295833,"score_gpt":0.5922641488294058,"score_spread":0.2356568210998225,"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."}}