{"id":"W4407424454","doi":"10.53555/sfs.v10i4.3376","title":"Impact of Body Mass Index on Menstrual Health: A study among Tripura’s Tribal Communities","year":2023,"lang":"en","type":"article","venue":"Journal of Survey in Fisheries Sciences","topic":"Menstrual Health and Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Body mass index; Index (typography); Geography; Environmental health; Socioeconomics; Medicine; Demography; Traditional medicine; Sociology; Internal medicine; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.007874816,0.0001558479,0.000733859,0.0007499181,0.0001870499,0.00004085125,0.0003003618,0.00006078623,0.00009262908],"category_scores_gemma":[0.0007263052,0.000105598,0.0001239913,0.001639171,0.0006384834,0.0002873582,0.00003822748,0.0004314184,0.000001955316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001535938,"about_ca_system_score_gemma":0.001508341,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01728485,"about_ca_topic_score_gemma":0.006229029,"domain_scores_codex":[0.9965467,0.0008854166,0.001050898,0.000121202,0.000947752,0.0004480108],"domain_scores_gemma":[0.9978281,0.0008321321,0.0006693181,0.0001756458,0.0002273997,0.0002673799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001280227,0.0003801987,0.9913514,0.00005306779,0.00003504463,0.00002999311,0.003127614,0.0001360615,0.000007461164,0.000003131511,0.0022865,0.001309335],"study_design_scores_gemma":[0.002474719,0.01469837,0.9541748,0.000165751,0.000006081604,0.00002088662,0.02815692,0.0001332973,0.000005101886,0.00006622419,0.00002127399,0.00007664115],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979246,0.00008136039,0.000002743965,0.0005785727,0.0003886822,0.0003388294,0.00002851034,0.00001200708,0.0006447099],"genre_scores_gemma":[0.9995884,0.0001591676,0.00003720977,0.00009664698,0.0000389147,0.000003487872,0.000006308371,0.000007955545,0.00006193506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03717663,"threshold_uncertainty_score":0.9892591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3300852384675294,"score_gpt":0.4166810261073183,"score_spread":0.08659578763978892,"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."}}