{"id":"W2019151143","doi":"10.2196/medinform.3697","title":"Real-Time Patient Survey Data During Routine Clinical Activities for Rapid-Cycle Quality Improvement","year":2015,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Software deployment; Turnaround time; Data collection; Medicine; Survey data collection; The Internet; Quality management; Health care; Data quality; Medical emergency; Computer science; Operations management; Management system; World Wide Web; Engineering; Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.04194596,0.0008708639,0.0007662573,0.003120941,0.001025581,0.001364361,0.00133559,0.000684379,0.004435653],"category_scores_gemma":[0.07913508,0.0005588354,0.0005195804,0.002564667,0.0004146789,0.001406102,0.001811662,0.0009140918,0.001611966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001141755,"about_ca_system_score_gemma":0.003529585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001809796,"about_ca_topic_score_gemma":0.003006825,"domain_scores_codex":[0.9570774,0.03423576,0.003067621,0.001187314,0.003586785,0.0008450943],"domain_scores_gemma":[0.8556666,0.07941886,0.02770195,0.01383142,0.01729406,0.006087046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003542638,0.002837316,0.4967257,0.001582334,0.0002130805,0.0002402869,0.006228864,0.002971568,0.009323819,0.0004397181,0.01890797,0.4569867],"study_design_scores_gemma":[0.001329814,0.01036816,0.9256375,0.0007211082,0.0002542379,0.0005452921,0.004713602,0.01975971,0.01107454,0.0008878413,0.02452835,0.0001797731],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8557203,0.0007485208,0.09981401,0.003094393,0.000203623,0.01929206,0.007131354,0.003559164,0.01043664],"genre_scores_gemma":[0.8809541,0.0002909488,0.101747,0.0005351122,0.0001880277,0.01248389,0.002973062,0.0001413087,0.0006866175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04194596,"threshold_uncertainty_score":0.221834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4360219426477185,"score_gpt":0.5432899633200164,"score_spread":0.107268020672298,"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."}}