{"id":"W4391189608","doi":"10.2196/50135","title":"Feasibility Study on Menstrual Cycles With Fitbit Device (FEMFIT): Prospective Observational Cohort Study","year":2024,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Menstrual Health and Disorders","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Observational study; Data collection; Menstrual cycle; mHealth; Medicine; Descriptive statistics; Cohort study; Physical therapy; Cohort; Prospective cohort study; Wearable technology; Wearable computer; Psychology; Gerontology; Computer science; Statistics; Nursing; Psychological intervention; Internal medicine","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":[0.002401861,0.0004293276,0.0005138323,0.0008364744,0.0009221617,0.0006476325,0.0005391938,0.0008255439,0.002090364],"category_scores_gemma":[0.003462443,0.0006529102,0.000799741,0.0009504918,0.0002702433,0.0008452805,0.0007749806,0.0008980775,0.0008628774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002791769,"about_ca_system_score_gemma":0.0006247421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003082728,"about_ca_topic_score_gemma":0.004601453,"domain_scores_codex":[0.9989968,0.0002959771,0.0001243824,0.0002513917,0.0001975904,0.0001338872],"domain_scores_gemma":[0.9982519,0.0002531751,0.0005958636,0.0002906257,0.0002965667,0.0003118973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005361293,0.0003682681,0.9950546,0.00008121745,0.0001211642,0.0001488046,0.000355985,0.00002006511,0.0004261123,0.00003851563,0.0004101211,0.0024391],"study_design_scores_gemma":[0.00009300588,0.001677385,0.9959719,0.00004501594,0.0001019388,0.0003322183,0.0006413561,0.0001002901,0.00005279491,0.00003596806,0.0009337587,0.00001432856],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952739,0.0004611932,0.0006789896,0.00008118618,0.00002222103,0.0006510649,0.00211144,0.000008779737,0.0007113073],"genre_scores_gemma":[0.9941104,0.0003163741,0.00155237,0.000246684,0.00003931589,0.001141693,0.001958821,0.00001054204,0.0006237471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003082728,"threshold_uncertainty_score":0.01270241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1329558910163692,"score_gpt":0.4535696557524032,"score_spread":0.320613764736034,"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."}}