{"id":"W200643134","doi":"10.3233/978-1-60750-709-3-346","title":"Mandatory Public Reporting: Build It and Who Will Come?","year":2011,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Patient Satisfaction in Healthcare","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Victoria; Nutrasource","funders":"","keywords":"Incentive; Legislature; Variety (cybernetics); Health care; Public relations; Meaningful use; Benchmarking; Frontier; Set (abstract data type); Informatics; Quality (philosophy); Health informatics; Business; Public health; Medicine; Political science; Nursing; Marketing; Computer science; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.2101272,0.0005421152,0.0009688146,0.003357537,0.004742374,0.02054718,0.003291538,0.00662534,0.01099277],"category_scores_gemma":[0.2362477,0.0008336735,0.001214468,0.003181243,0.008358344,0.03669267,0.009991392,0.008453505,0.002106409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0103108,"about_ca_system_score_gemma":0.03595358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01419197,"about_ca_topic_score_gemma":0.009845188,"domain_scores_codex":[0.9174124,0.06056597,0.003755309,0.002189458,0.00948419,0.006592681],"domain_scores_gemma":[0.7830578,0.1184397,0.02077298,0.01427835,0.04036468,0.02308653],"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":[0.0006419797,0.001692969,0.1517745,0.001491176,0.0001468079,0.0001906159,0.01499352,0.001097727,0.0004410125,0.1203112,0.09180096,0.6154175],"study_design_scores_gemma":[0.0004123677,0.005049431,0.2057375,0.01110509,0.0004586779,0.0006800783,0.1451844,0.007583007,0.004643567,0.1504788,0.4680001,0.0006670937],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.06540621,0.007336377,0.008893385,0.8747494,0.002168425,0.0006558812,0.0005379779,0.0003214031,0.03993094],"genre_scores_gemma":[0.9019165,0.006407492,0.01753957,0.06437232,0.002207482,0.0009854379,0.0005386022,0.0001521575,0.005880569],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2101272,"threshold_uncertainty_score":0.9740538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2673135956286118,"score_gpt":0.4808159436281999,"score_spread":0.2135023479995881,"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."}}