{"id":"W2947166847","doi":"","title":"Levels of mental distress in a national sample of Canadian university student athletes","year":2017,"lang":"en","type":"article","venue":"","topic":"Cardiovascular Effects of Exercise","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Athletes; Mental health; Anxiety; Distress; Depression (economics); Clinical psychology; Psychology; Psychological distress; Psychiatry; Sample (material); Medicine; Mental distress; Demography; Physical therapy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007158847,0.0002906157,0.00039609,0.001659396,0.003330329,0.001002744,0.0006478266,0.0004041475,0.001807497],"category_scores_gemma":[0.00159811,0.0003300596,0.0004073762,0.00213178,0.0007895626,0.0002776826,0.0008037683,0.0005203097,0.0002343929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007127426,"about_ca_system_score_gemma":0.007074861,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9383417,"about_ca_topic_score_gemma":0.9692287,"domain_scores_codex":[0.9993442,0.00004607826,0.00003411861,0.00006750508,0.0003172421,0.0001909426],"domain_scores_gemma":[0.9991984,0.00004115283,0.0001671524,0.00002544122,0.0003452631,0.0002225545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005479229,0.00008386638,0.9890098,0.00003805492,0.00002736477,0.00009070695,0.003958154,0.00001842022,0.0003734901,0.00004241816,0.0005028788,0.005800051],"study_design_scores_gemma":[0.000001516294,0.000031779,0.9969919,0.000009886722,0.000005671541,0.00005721497,0.00264926,0.00002000436,0.0000255398,0.000004112149,0.0001992971,0.000003841453],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987252,0.0001181413,0.0000199883,0.00005035116,0.000003213453,0.00002289053,0.0002803281,0.000001407632,0.0007785051],"genre_scores_gemma":[0.9981524,0.0004519566,0.0001056106,0.00007320147,0.000005272868,0.00002172085,0.0005918217,0.000001516814,0.0005964586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06165826,"threshold_uncertainty_score":0.1240427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02577665006603016,"score_gpt":0.2849143139453748,"score_spread":0.2591376638793447,"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."}}