{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01010195,0.0003270323,0.0005715798,0.0076465,0.001925085,0.002320483,0.0005513106,0.000530068,0.002096573],"category_scores_gemma":[0.04481833,0.0002771716,0.0006372283,0.00822753,0.001588418,0.001607366,0.002198394,0.0008860716,0.0002391978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005089339,"about_ca_system_score_gemma":0.01029364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005939687,"about_ca_topic_score_gemma":0.00882058,"domain_scores_codex":[0.9949149,0.002264975,0.0008964922,0.0003738468,0.001211911,0.000337823],"domain_scores_gemma":[0.9488941,0.03694153,0.003214351,0.001122282,0.009212797,0.0006149407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004144103,0.001275133,0.2215882,0.006565231,0.0001328913,0.001005159,0.3687021,0.0007574536,0.01006295,0.008799878,0.01145394,0.3692427],"study_design_scores_gemma":[0.00009476215,0.0005655828,0.5438076,0.005063208,0.0003622299,0.0006306169,0.3726007,0.004140188,0.005359866,0.004116856,0.06313126,0.0001271307],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9608986,0.0003601876,0.01005737,0.001128076,0.00007605102,0.008285224,0.00505709,0.0001077569,0.01402957],"genre_scores_gemma":[0.9002784,0.001067835,0.06487681,0.0007476239,0.00006138861,0.02385993,0.005614489,0.0001202132,0.003373363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01010195,"threshold_uncertainty_score":0.05342484,"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."}}