{"id":"W1969479837","doi":"10.1145/1987993.1988005","title":"Leveraging performance analytics to improve integration of care","year":2011,"lang":"en","type":"article","venue":"","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Analytics; Health care; Data science; Protocol (science); Software; Data collection; Process management; Engineering; Medicine","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":[0.0241733,0.002298164,0.001335928,0.009627817,0.001319709,0.01078417,0.001883911,0.0011514,0.001550597],"category_scores_gemma":[0.1121293,0.0007393887,0.000802173,0.00853114,0.001730246,0.01246303,0.00477714,0.00293445,0.0006043495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003678638,"about_ca_system_score_gemma":0.007099879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008670098,"about_ca_topic_score_gemma":0.006723865,"domain_scores_codex":[0.9710916,0.01337888,0.002889247,0.002328145,0.009284114,0.001028023],"domain_scores_gemma":[0.9014338,0.05198506,0.01420549,0.01479015,0.0156301,0.001955417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002513041,0.001034928,0.1182036,0.001006152,0.0005086019,0.0003810313,0.006477631,0.08783924,0.007624468,0.05446018,0.007851554,0.7143613],"study_design_scores_gemma":[0.000155352,0.00132037,0.09503955,0.001404303,0.0004293321,0.0004905408,0.006819483,0.5425078,0.02116028,0.2770996,0.05300649,0.0005668948],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2068071,0.002594807,0.7252605,0.01697355,0.0003628412,0.001523889,0.0009420229,0.008696645,0.03683864],"genre_scores_gemma":[0.7190667,0.0009855774,0.276545,0.0004273592,0.0001889081,0.0003037654,0.001128418,0.0003893717,0.0009649839],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0241733,"threshold_uncertainty_score":0.1278422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1100571991534376,"score_gpt":0.4130310077566864,"score_spread":0.3029738086032488,"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."}}