{"id":"W2009490672","doi":"10.1017/s0266462313000731","title":"METHODOLOGICAL CHALLENGES IN EVALUATING THE VALUE OF REGISTERS","year":2014,"lang":"en","type":"article","venue":"International Journal of Technology Assessment in Health Care","topic":"Quality and Safety in Healthcare","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Services and Policy Research","funders":"National Institute for Health and Care Research","keywords":"Obstacle; Value (mathematics); Quality (philosophy); Computer science; Health care; Quality assurance; Cost–benefit analysis; Risk analysis (engineering); Actuarial science; Medicine; Operations management; Business; 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":["metaresearch"],"category_scores_codex":[0.781557,0.003070216,0.007143354,0.02692513,0.005740688,0.02310504,0.009816744,0.008904921,0.007114681],"category_scores_gemma":[0.9263467,0.003466933,0.008270589,0.02517835,0.01930881,0.0203212,0.01922924,0.006983155,0.001185955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01603166,"about_ca_system_score_gemma":0.03165768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005050426,"about_ca_topic_score_gemma":0.006773279,"domain_scores_codex":[0.06123872,0.8043262,0.08527122,0.007319706,0.04048731,0.001356715],"domain_scores_gemma":[0.02735228,0.8904535,0.02797771,0.02890818,0.02463833,0.0006700441],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002787611,0.0005449059,0.02403982,0.1180092,0.01431372,0.0006325687,0.03286652,0.008057243,0.0009823157,0.309168,0.01288494,0.4757133],"study_design_scores_gemma":[0.001529616,0.002271424,0.01498702,0.2170035,0.01018565,0.0009282345,0.02373015,0.01210907,0.003748399,0.612034,0.1007372,0.0007357492],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03684275,0.06538961,0.6933786,0.08515516,0.007776591,0.06001649,0.003623754,0.0004725989,0.04734448],"genre_scores_gemma":[0.2171069,0.009971597,0.6446196,0.01114299,0.001648866,0.1129508,0.0008612453,0.0002240542,0.001474021],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.218443,"threshold_uncertainty_score":0.2693791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.530557311203339,"score_gpt":0.6469254149779288,"score_spread":0.1163681037745897,"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."}}