{"id":"W4382630776","doi":"10.3233/shti230430","title":"A Machine Learning Study to Predict Anxiety on Campuses in Lebanon","year":2023,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Mitacs","keywords":"Anxiety; Mental health; Machine learning; Perceptron; Artificial intelligence; Support vector machine; Logistic regression; Random forest; Multilayer perceptron; Multidisciplinary approach; Computer science; Artificial neural network; Psychology; Applied psychology; Psychiatry; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00181329,0.000329504,0.0002837483,0.0008008433,0.000686826,0.0007978301,0.00036593,0.0004070546,0.0009911791],"category_scores_gemma":[0.003317698,0.0001490916,0.0004345826,0.0005601801,0.0003227533,0.0003628683,0.0003448287,0.0008657096,0.0001756735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009602234,"about_ca_system_score_gemma":0.0008121406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02509297,"about_ca_topic_score_gemma":0.02659846,"domain_scores_codex":[0.9994666,0.0002892915,0.00002979827,0.00005311306,0.00006667488,0.00009450754],"domain_scores_gemma":[0.9974764,0.001573112,0.0002253404,0.00009062449,0.0002972588,0.0003372598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002814394,0.00447633,0.9746855,0.00003141284,0.00008394071,0.0002964069,0.001645071,0.001038422,0.0004775267,0.0001514518,0.0005464857,0.01628603],"study_design_scores_gemma":[0.0000658823,0.002558415,0.9694487,0.00003538952,0.00005654263,0.0001627368,0.008050701,0.01800146,0.0004818588,0.0001726682,0.0009460336,0.00001961932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995607,0.00002654646,0.0001018563,0.00007836727,0.000004464037,0.00002014166,0.00004147532,0.000001768182,0.0001648305],"genre_scores_gemma":[0.9989977,0.00005803625,0.0003150062,0.00004681171,0.00001362603,0.00003489553,0.0001743717,0.000001325326,0.0003582393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02509297,"threshold_uncertainty_score":0.0498938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08323486827209696,"score_gpt":0.4562068593630944,"score_spread":0.3729719910909974,"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."}}