{"id":"W4400804523","doi":"10.2196/48582","title":"Identifying Weekly Trajectories of Pain Severity Using Daily Data From an mHealth Study: Cluster Analysis","year":2024,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Versus Arthritis","keywords":"Cluster analysis; Cluster (spacecraft); Medoid; mHealth; Chronic pain; Medicine; Physical therapy; Population; Physical medicine and rehabilitation; Computer science; Psychological intervention; Artificial intelligence; Psychiatry","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":[0.006067576,0.0004317953,0.0005556605,0.002786116,0.0006325775,0.001232112,0.0008692378,0.0004652237,0.00114827],"category_scores_gemma":[0.01789555,0.0002805352,0.001368493,0.003509086,0.0003893369,0.0009059428,0.001273801,0.001016362,0.0002161266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001186826,"about_ca_system_score_gemma":0.0011727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02501345,"about_ca_topic_score_gemma":0.02531751,"domain_scores_codex":[0.9975156,0.001271329,0.0002820753,0.0004324251,0.0003257366,0.0001729342],"domain_scores_gemma":[0.991184,0.004781317,0.001569924,0.0009563367,0.001172915,0.0003354117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005860417,0.0001474275,0.9326867,0.0004087985,0.0008173566,0.0001524799,0.003008007,0.01397786,0.000816375,0.001094208,0.002476749,0.04382788],"study_design_scores_gemma":[0.00004478652,0.0003127383,0.907336,0.0002468439,0.0002837755,0.0001543929,0.004395452,0.07944661,0.0005722645,0.004222144,0.002912403,0.00007273086],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9652599,0.0005203073,0.02729474,0.0006548585,0.00004157069,0.0004275301,0.004829254,0.00008749959,0.0008843823],"genre_scores_gemma":[0.9761554,0.0002346344,0.01902487,0.00005634256,0.00001897,0.0003833366,0.003821693,0.00002003843,0.0002847784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02501345,"threshold_uncertainty_score":0.04973572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1034676140336861,"score_gpt":0.4460037340354194,"score_spread":0.3425361200017333,"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."}}