{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005036455,0.0002035854,0.0003590976,0.0002765345,0.0001298566,0.0001136652,0.0001127666,0.0001260778,0.000001442889],"category_scores_gemma":[0.00005357288,0.0002332663,0.00008160591,0.0009489118,0.00001866247,0.001011951,0.00009249722,0.0001752433,0.000009482308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001971027,"about_ca_system_score_gemma":0.00001695529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001508522,"about_ca_topic_score_gemma":0.00001151357,"domain_scores_codex":[0.99854,0.000222231,0.0002556127,0.0004532102,0.000302046,0.0002268724],"domain_scores_gemma":[0.9988939,0.0002257046,0.00006072531,0.0006468041,0.00008100366,0.00009190094],"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":[0.00001629759,0.000006417562,0.02019192,0.00001186528,0.0003403469,0.000003147338,0.0001087376,0.6767249,0.301727,9.45584e-7,0.00002659745,0.0008418295],"study_design_scores_gemma":[0.0002448024,0.0000128617,0.1489164,0.00002656331,0.0002145156,2.143321e-7,0.0001197956,0.8148608,0.0353237,0.00004355033,0.00003577396,0.0002010885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9301635,0.0000833911,0.06772925,0.000004521146,0.0006233443,0.0002611842,0.0004913114,0.0006147695,0.00002874988],"genre_scores_gemma":[0.9983599,0.00003696369,0.0003972111,0.000002508489,0.0006458802,0.00003537077,0.0004705712,0.00004426587,0.000007349777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2664033,"threshold_uncertainty_score":0.9512322,"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."}}