{"id":"W2796356729","doi":"10.4236/ti.2018.92007","title":"Collaborative Evaluation for the Utah All Payer Claims Database Capacity Enhancement","year":2018,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Utah Department of Health","keywords":"Transparency (behavior); Process (computing); Process management; Best practice; Logic model; Computer science; Program evaluation; Engineering management; Database; Business; Engineering; Political science; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010745,0.0001043995,0.0001585976,0.0001832309,0.0002549106,0.00001980042,0.0001410668,0.000102219,0.0001365308],"category_scores_gemma":[0.0001202262,0.00008625336,0.00002037238,0.0002454524,0.0003099401,0.00008740824,0.00008961233,0.0000886777,0.0001131395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001136688,"about_ca_system_score_gemma":0.0000294681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001860149,"about_ca_topic_score_gemma":0.0001909664,"domain_scores_codex":[0.9991045,0.00001886017,0.000294438,0.000303664,0.00003575509,0.0002427954],"domain_scores_gemma":[0.999328,0.0000415068,0.0001563737,0.0003527797,0.00008034244,0.00004095764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000119653,0.00004415768,0.0001954963,0.00001592368,0.00007313108,1.221231e-7,0.000447643,7.450286e-7,0.00005148645,0.9881521,0.006741925,0.004265302],"study_design_scores_gemma":[0.0004496285,0.0002750947,0.0004051253,0.000007223474,0.00001833949,6.293956e-7,0.0002033327,0.002651344,0.002370614,0.3840954,0.609427,0.00009632034],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6730998,0.01191877,0.05163268,0.2200703,0.001771011,0.008087942,0.0007457056,0.0002412242,0.03243253],"genre_scores_gemma":[0.9844599,0.0004063696,0.003086757,0.01044174,0.0001056753,0.001098645,0.00002594726,0.000008947391,0.0003660376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6040567,"threshold_uncertainty_score":0.351731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09890178905994404,"score_gpt":0.326662791616508,"score_spread":0.227761002556564,"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."}}