{"id":"W3216487794","doi":"10.1123/jcsp.2021-0011","title":"A Content Analysis of Mental Health Literacy Education for Sport Coaches","year":2021,"lang":"en","type":"article","venue":"Journal of Clinical Sport Psychology","topic":"School Health and Nursing Education","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Mental health literacy; Mental health; Psychology; Promotion (chess); Literacy; Content analysis; Health promotion; Athletes; Applied psychology; Sample (material); Health literacy; Medical education; Health education; Pedagogy; Public health; Nursing; Medicine; Psychiatry; Health care; Social science; Sociology; Mental illness; Political science; Politics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005153372,0.0001095678,0.001281547,0.0003493377,0.000166607,0.000003858293,0.0001633107,0.000259494,0.0003007358],"category_scores_gemma":[0.0006713583,0.00009217198,0.0005906443,0.0005651647,0.00006733168,0.000107215,0.0000133986,0.0007050549,0.000009984406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001305521,"about_ca_system_score_gemma":0.005079135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006105811,"about_ca_topic_score_gemma":0.00005158315,"domain_scores_codex":[0.9947472,0.0003033131,0.004119232,0.0002538447,0.0002358193,0.0003405822],"domain_scores_gemma":[0.9931238,0.0006036188,0.004002009,0.0003254886,0.001494917,0.0004502089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001303713,0.001733174,0.8753998,0.0001013321,0.00032322,0.000001754974,0.0007277174,6.79605e-7,0.00001512924,0.0004201344,0.04185449,0.07811889],"study_design_scores_gemma":[0.001643519,0.0005616454,0.8608004,0.0002327652,0.0003073464,0.00001801964,0.002531242,0.00001778972,0.000004193947,0.0004703983,0.1333528,0.00005981922],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9371978,0.001558037,0.0007049481,0.04822202,0.01129831,0.0003928226,0.00002445433,0.000007012416,0.0005945916],"genre_scores_gemma":[0.9623247,0.001325322,0.01204539,0.02101749,0.00183365,0.00002441895,0.0002372752,0.00001667058,0.00117505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09149832,"threshold_uncertainty_score":0.9010167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3704090200226847,"score_gpt":0.6631647988801552,"score_spread":0.2927557788574706,"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."}}