{"id":"W7036675457","doi":"","title":"Calidad ósea, hormonas y ciclo menstrual en mujeres deportistas: una revisión sistemática","year":2023,"lang":"es","type":"dissertation","venue":"Repositori UJI (Universitat Jaume I)","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Menstrual cycle; Risk factor; Physical activity; Population; Menstruation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003845335,0.0009007696,0.00108014,0.0007954073,0.0007602142,0.000585601,0.0005969262,0.00104615,0.0003873212],"category_scores_gemma":[0.0003302743,0.001118174,0.0005530588,0.001278742,0.00007657145,0.001028937,0.00008634888,0.0009911405,0.001677181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007931511,"about_ca_system_score_gemma":0.0003664902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00064392,"about_ca_topic_score_gemma":0.0002171951,"domain_scores_codex":[0.995602,0.0002311972,0.001200932,0.001075149,0.001118775,0.0007719614],"domain_scores_gemma":[0.9967195,0.0006242226,0.0007564328,0.0007494626,0.0006725749,0.0004778391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002143955,0.001219545,0.01296115,0.04920013,0.01253538,0.01979597,0.04760161,0.01605011,0.222367,0.06631278,0.5083213,0.04149109],"study_design_scores_gemma":[0.003761025,0.001133881,0.05979033,0.01091295,0.004992935,0.001039702,0.1270484,0.01045558,0.03404473,0.0007706971,0.7379815,0.008068236],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8013692,0.01010381,0.001902944,0.0007894858,0.01730319,0.001776261,0.0003605845,0.003404805,0.1629897],"genre_scores_gemma":[0.8571378,0.004588099,0.001001136,0.00003338457,0.001704292,0.0000405992,0.003280472,0.0003482182,0.131866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2296603,"threshold_uncertainty_score":0.9991269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009938824091902308,"score_gpt":0.2694551722238838,"score_spread":0.2595163481319814,"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."}}