{"id":"W4293499846","doi":"10.1159/000525897","title":"Considerations for Analyzing and Interpreting Data from Biometric Monitoring Technologies in Clinical Trials","year":2022,"lang":"en","type":"review","venue":"Digital Biomarkers","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute of Mining, Metallurgy and Petroleum; Bayer (Canada)","funders":"","keywords":"Biometrics; Clinical trial; Multidisciplinary approach; Psychological intervention; Data science; Computer science; Medicine; Artificial intelligence; Pathology","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":[0.664403,0.002658024,0.01120516,0.009123852,0.003123669,0.02064675,0.01004974,0.01663625,0.004527097],"category_scores_gemma":[0.7973782,0.002780421,0.009388953,0.0116642,0.01661805,0.01968321,0.005091708,0.01809798,0.00260279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009673323,"about_ca_system_score_gemma":0.03945718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003478351,"about_ca_topic_score_gemma":0.005841043,"domain_scores_codex":[0.1710455,0.7318755,0.0566049,0.006466278,0.03287089,0.001136946],"domain_scores_gemma":[0.05580606,0.8795711,0.02320484,0.01404846,0.02624265,0.001126898],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001724103,0.0002074043,0.004627675,0.1868032,0.00664564,0.0006447094,0.008026941,0.003116581,0.0009577072,0.1114778,0.06497088,0.6107973],"study_design_scores_gemma":[0.001296671,0.001236065,0.005484044,0.4631181,0.007360864,0.001742664,0.00336359,0.004820771,0.001639145,0.1877405,0.3216924,0.0005051312],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001113639,0.7283627,0.100429,0.1420629,0.01369427,0.006026357,0.0006011333,0.0003071655,0.007402886],"genre_scores_gemma":[0.05257528,0.3841434,0.45529,0.06481846,0.01515801,0.02568087,0.0005093958,0.0002848599,0.001539653],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.335597,"threshold_uncertainty_score":0.4138508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5868859474352514,"score_gpt":0.5887013668992057,"score_spread":0.00181541946395436,"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."}}