{"id":"W4292771524","doi":"10.1145/3524458.3547236","title":"Exploring Anxiety of Québec University Community during COVID-19 Pandemic via Machine Learning","year":2022,"lang":"en","type":"article","venue":"","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Anxiety; Pandemic; Coronavirus disease 2019 (COVID-19); Pearson product-moment correlation coefficient; Machine learning; Psychology; Artificial intelligence; Generalized anxiety disorder; Computer science; Clinical psychology; Statistics; Mathematics; Medicine; Psychiatry","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":[0.001035545,0.0003304399,0.0002802403,0.001141842,0.0009736207,0.0009985955,0.0004111833,0.0003558838,0.001406068],"category_scores_gemma":[0.003297623,0.0000972661,0.0003303429,0.0008794361,0.0003930227,0.0002816198,0.0004109441,0.0006725499,0.0001465657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003971014,"about_ca_system_score_gemma":0.002665775,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5351786,"about_ca_topic_score_gemma":0.6405942,"domain_scores_codex":[0.9996159,0.0001678452,0.00001053539,0.00004562228,0.00008021735,0.00007988319],"domain_scores_gemma":[0.9982575,0.0008474872,0.0002145479,0.00004828988,0.0004225789,0.0002096217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000170241,0.0004511792,0.9221906,0.00008637084,0.00007356649,0.0002435952,0.004046829,0.003645884,0.0005676957,0.0003662122,0.002967714,0.06519009],"study_design_scores_gemma":[0.00001143566,0.0002951368,0.9349375,0.0001181834,0.00004450298,0.0000915587,0.009800508,0.05170748,0.0004676046,0.0003899564,0.002088566,0.00004768707],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965061,0.0001938526,0.001036064,0.0004118859,0.00001259225,0.00003707873,0.0003643041,0.00002320894,0.001414928],"genre_scores_gemma":[0.9983665,0.0001178939,0.0007992489,0.00004332723,0.000006280583,0.00002005077,0.000236395,0.000001792387,0.0004084337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4648214,"threshold_uncertainty_score":0.9351177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2281778368485965,"score_gpt":0.374507496648333,"score_spread":0.1463296597997365,"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."}}