{"id":"W4311064658","doi":"10.32920/ihtp.v2i3.1662","title":"Examining the mental health impacts of the COVID-19 pandemic on international postsecondary students in Canada: A cross sectional analysis","year":2022,"lang":"en","type":"article","venue":"International Health Trends and Perspectives","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Mental health; Anxiety; Pandemic; Cross-sectional study; Coping (psychology); Psychology; Coronavirus disease 2019 (COVID-19); Public health; Depression (economics); Clinical psychology; Medicine; Psychiatry; Nursing; Disease; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001282315,0.0001495334,0.0002448574,0.0004719362,0.0006511232,0.0000307128,0.0005747665,0.00002569285,0.002648767],"category_scores_gemma":[0.00004639479,0.0001108804,0.0001014685,0.0005797669,0.0001113657,0.00005705445,0.000260761,0.0004674956,8.049656e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01086726,"about_ca_system_score_gemma":0.003424277,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8513984,"about_ca_topic_score_gemma":0.8841115,"domain_scores_codex":[0.9972705,0.0005100858,0.0005455834,0.0004410581,0.0009174582,0.0003153613],"domain_scores_gemma":[0.9987646,0.000356612,0.000433677,0.0002041791,0.00004350439,0.0001974215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004535687,0.0002696932,0.9657317,0.00001309686,0.0003449763,0.000003686301,0.02129466,0.0003991766,0.000001583906,0.00174283,0.001458134,0.008286833],"study_design_scores_gemma":[0.001320973,0.0002534873,0.9730832,0.00000863631,0.00000557938,0.00005854553,0.01346347,0.0001414703,2.461672e-7,0.00006034851,0.01152321,0.00008081272],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9120923,0.001126355,0.000006605268,0.08159149,0.001947635,0.0002289812,0.002060953,0.00001139158,0.0009342995],"genre_scores_gemma":[0.983341,0.000189365,0.000004300613,0.01501684,0.0001025797,0.00006769592,0.0001268738,0.00001020151,0.001141092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07124877,"threshold_uncertainty_score":0.9982629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1026454527623846,"score_gpt":0.4762073283850834,"score_spread":0.3735618756226988,"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."}}