{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00137432,0.0003745031,0.0006953306,0.0002154389,0.0004265905,0.00005900684,0.00008482823,0.000107819,0.00006997665],"category_scores_gemma":[0.00007692159,0.0002698655,0.00004643014,0.0006197243,0.0001142706,0.0001428719,0.00003761047,0.0007058542,0.00004822557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004635172,"about_ca_system_score_gemma":0.001968023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007282309,"about_ca_topic_score_gemma":0.0008729487,"domain_scores_codex":[0.9962394,0.0002503631,0.0007284209,0.00109774,0.0009296783,0.0007544147],"domain_scores_gemma":[0.9978884,0.0002577783,0.0001391528,0.0004847119,0.0001893649,0.001040529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002600276,0.003175784,0.9831414,0.001987031,0.00008325886,0.00008011152,0.004231733,0.000001787041,7.503756e-7,0.0006296766,0.0009733494,0.003094848],"study_design_scores_gemma":[0.004268587,0.01310026,0.9716923,0.0001969888,0.0002010074,0.00005004168,0.009608245,0.0001245602,0.000001364168,0.0001828541,0.0003623153,0.0002114273],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833405,0.0006078366,0.000009948223,0.002820476,0.0003240206,0.01039493,0.00004772777,0.0002483905,0.002206185],"genre_scores_gemma":[0.9961792,0.00006596579,0.0001811691,0.002281756,0.0002577259,0.0005879021,0.00005556253,0.0000467696,0.0003439232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01283874,"threshold_uncertainty_score":0.9999754,"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."}}