{"id":"W7011697549","doi":"","title":"“My Biggest Learning Curve:” Coaches’ Experiences of Working with Athletes who Menstruate","year":2023,"lang":"en","type":"article","venue":"","topic":"Menstrual Health and Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Athletes; Coaching; Menstruation; Variety (cybernetics); Qualitative research; Content analysis; Qualitative property","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004798227,0.0005532412,0.0007332444,0.001237642,0.01699515,0.006944286,0.001755287,0.00344933,0.002744945],"category_scores_gemma":[0.008963554,0.000667533,0.0005842062,0.0008560422,0.01163691,0.003774822,0.009718214,0.005006706,0.0005117555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002212485,"about_ca_system_score_gemma":0.003593017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01318136,"about_ca_topic_score_gemma":0.02940108,"domain_scores_codex":[0.9931598,0.004130191,0.0002019691,0.00047779,0.0007291145,0.001301139],"domain_scores_gemma":[0.9932566,0.002209979,0.0007826616,0.0002360168,0.0007554005,0.002759352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006557881,0.0001155494,0.01070829,0.0002416333,0.00002013182,0.001404405,0.9668391,0.00004412417,0.0005420822,0.001149549,0.005756592,0.01311294],"study_design_scores_gemma":[0.000006922524,0.0001201662,0.005111455,0.0002285009,0.00001011013,0.001119746,0.9729133,0.00004942559,0.0001212982,0.000264472,0.02002682,0.00002780121],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9637307,0.003142828,0.001755084,0.01388114,0.0006909817,0.0001385715,0.00006220757,0.00006112154,0.01653733],"genre_scores_gemma":[0.9869622,0.00178011,0.001470311,0.003593561,0.0001362444,0.0001216216,0.00005312798,0.00004657563,0.005836281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01699515,"threshold_uncertainty_score":0.02620929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08282309737098814,"score_gpt":0.3157159181110227,"score_spread":0.2328928207400345,"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."}}