{"id":"W7104040499","doi":"10.5683/sp3/o9pk5n","title":"Supplemental data to: ChatGPT for mental health support: a cross-sectional survey of university students in Canada","year":2025,"lang":"","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mental health; Coping (psychology); Emotional intelligence; Data collection; Emotional health","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":[0.001572413,0.0009734231,0.00114956,0.004409889,0.004460323,0.003049009,0.003246636,0.001548863,0.07675315],"category_scores_gemma":[0.01578064,0.0007862307,0.001379046,0.01067559,0.0005787241,0.00106928,0.002081951,0.00196411,0.01535767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01857713,"about_ca_system_score_gemma":0.04117983,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.975941,"about_ca_topic_score_gemma":0.9855841,"domain_scores_codex":[0.9984431,0.0001341672,0.0002166484,0.0002274975,0.0005313329,0.0004473236],"domain_scores_gemma":[0.9829628,0.002081425,0.001743356,0.0009416134,0.01017304,0.002097676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001224229,0.0001100903,0.04376792,0.0006866083,0.00008922398,0.00004643837,0.0002347519,0.0002173877,0.00003502445,0.0002832251,0.9503055,0.004101484],"study_design_scores_gemma":[0.0006823533,0.00008240079,0.6522321,0.0020841,0.0002703088,0.0001505717,0.003129169,0.001050563,0.000330273,0.0006712039,0.3391298,0.0001872655],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001242751,0.00003154152,0.00003230645,0.0001111822,0.00001398124,0.000070859,0.997823,0.00003568217,0.0006386684],"genre_scores_gemma":[0.01171631,0.0001385232,0.0004596742,0.000235456,0.00002063692,0.001097632,0.9820286,0.00005345687,0.004249686],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07675315,"threshold_uncertainty_score":0.2567648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06319386758044877,"score_gpt":0.377958809519932,"score_spread":0.3147649419394832,"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."}}