{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3940441,0.001293592,0.001189526,0.006563671,0.009340147,0.01156744,0.007851356,0.002815632,0.007234209],"category_scores_gemma":[0.3966468,0.001025878,0.002119719,0.004604698,0.003522829,0.008437827,0.02034071,0.003669523,0.001107449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0318202,"about_ca_system_score_gemma":0.1094897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02144205,"about_ca_topic_score_gemma":0.03342196,"domain_scores_codex":[0.5701737,0.310752,0.01666136,0.01036685,0.08448883,0.007557378],"domain_scores_gemma":[0.4617788,0.2386286,0.02206104,0.06349267,0.1981665,0.01587246],"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":[0.001459556,0.004881659,0.02721264,0.003094006,0.0005881707,0.0007180835,0.02518542,0.0147883,0.004207467,0.05749496,0.08049693,0.7798728],"study_design_scores_gemma":[0.004233014,0.01439833,0.07021792,0.01029069,0.001364343,0.000764268,0.02327542,0.08206593,0.02706477,0.07751158,0.6879174,0.000896353],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1992015,0.003580771,0.5061253,0.05815903,0.001793095,0.09357779,0.003738641,0.004852416,0.1289715],"genre_scores_gemma":[0.3184026,0.0005190246,0.6453385,0.002915989,0.0002481105,0.02495005,0.001826376,0.0004104351,0.005388904],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3940441,"threshold_uncertainty_score":0.7472515,"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."}}