{"id":"W4367834059","doi":"10.2196/40524","title":"Data Quality Degradation on Prediction Models Generated From Continuous Activity and Heart Rate Monitoring: Exploratory Analysis Using Simulation","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mean squared error; Missing data; Statistics; Computer science; Predictive modelling; Data set; Exploratory data analysis; Data quality; Data mining; Mathematics; Engineering","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":[0.009887074,0.001149447,0.000640105,0.0006046779,0.0003556908,0.0006689143,0.000927123,0.001026695,0.0005417471],"category_scores_gemma":[0.02434198,0.0005634043,0.001348751,0.0004012427,0.0007242585,0.0008404084,0.0008173379,0.001494123,0.000120353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001103989,"about_ca_system_score_gemma":0.0009908425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0121658,"about_ca_topic_score_gemma":0.005443657,"domain_scores_codex":[0.9979692,0.00109661,0.0001836828,0.0002807658,0.0003236653,0.0001459856],"domain_scores_gemma":[0.9643866,0.03050107,0.001504331,0.001306606,0.002070661,0.0002308369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005745381,0.0002227736,0.0248108,0.0001598295,0.0001776482,0.000114818,0.0001525912,0.9623187,0.002974914,0.0003535871,0.0002181138,0.007921696],"study_design_scores_gemma":[0.00001384125,0.0001981666,0.003370035,0.00001451729,0.0000259638,0.00002424671,0.00002635816,0.9937912,0.002257559,0.0001971837,0.00007001788,0.00001093377],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9360884,0.0003013873,0.06203619,0.0002147715,0.00003149375,0.0001620723,0.0004148378,0.000332319,0.0004184332],"genre_scores_gemma":[0.9805952,0.00007677652,0.01861562,0.00002993824,0.000005391062,0.0001049664,0.0004530791,0.000020996,0.0000981219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0121658,"threshold_uncertainty_score":0.05228847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1451968422916105,"score_gpt":0.336502451211108,"score_spread":0.1913056089194975,"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."}}