{"id":"W4206711058","doi":"10.2196/30328","title":"Deriving Weight From Big Data: Comparison of Body Weight Measurement–Cleaning Algorithms","year":2022,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Algorithm; Weight loss; Electronic health record; Medicine; Raw data; Weight change; Body weight; Documentation; Computer science; Health care; Statistics; Mathematics; Obesity; Pathology","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":[0.162262,0.00216288,0.002899571,0.009080342,0.001256245,0.006533094,0.004448333,0.001887942,0.001340008],"category_scores_gemma":[0.4560573,0.001457321,0.009581144,0.009388607,0.001821005,0.006708167,0.004004391,0.0024863,0.0004019319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002023144,"about_ca_system_score_gemma":0.005729434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00466755,"about_ca_topic_score_gemma":0.004714235,"domain_scores_codex":[0.8667395,0.08948647,0.02115996,0.006761032,0.01519294,0.000660032],"domain_scores_gemma":[0.4392578,0.4920177,0.02513985,0.02442765,0.01838203,0.0007749537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.007024936,0.0006576526,0.1997569,0.05294055,0.04959905,0.0002065858,0.00295343,0.03274412,0.001053142,0.009705213,0.01283335,0.630525],"study_design_scores_gemma":[0.0112419,0.007316847,0.2866866,0.08691608,0.07994924,0.002690264,0.006839241,0.2683915,0.01734306,0.1313104,0.09982153,0.001493348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2458193,0.1989012,0.4999982,0.01115714,0.002125107,0.009760574,0.01954291,0.003921633,0.008773874],"genre_scores_gemma":[0.3885109,0.02851335,0.5577557,0.002276763,0.000505626,0.005237775,0.01622287,0.0006363894,0.0003406604],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.162262,"threshold_uncertainty_score":0.8581339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1475261784359758,"score_gpt":0.3839112932121736,"score_spread":0.2363851147761978,"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."}}