{"id":"W4404367004","doi":"10.18280/ts.410528","title":"Automated Assessment of Student Mental Health Through Image Processing Technology","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Smart Systems and Machine Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mental health; Mental image; Image processing; Computer science; Artificial intelligence; Computer vision; Psychology; Multimedia; Image (mathematics); Data science; Medical education; Medicine; Psychiatry; Cognition","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003212968,0.0004930771,0.0004249341,0.001519364,0.0001469405,0.0006784018,0.0004190287,0.0006102892,0.001801422],"category_scores_gemma":[0.0008913701,0.0001630303,0.0003073596,0.0006590767,0.0001498758,0.0004037418,0.0005083818,0.0003662823,0.00108991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000139315,"about_ca_system_score_gemma":0.0002187562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006682188,"about_ca_topic_score_gemma":0.001203438,"domain_scores_codex":[0.999715,0.0000562434,0.00001741175,0.00007183351,0.0001022015,0.00003720214],"domain_scores_gemma":[0.999616,0.0001064727,0.00005558057,0.00003614325,0.0001568524,0.00002893548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000528809,0.0003330023,0.02306362,0.0002660256,0.00008966347,0.0002791069,0.0002046468,0.003088807,0.2372225,0.0005823082,0.003871143,0.7304705],"study_design_scores_gemma":[0.00009452173,0.001137707,0.2146948,0.0001007037,0.0002663404,0.001991222,0.0007122369,0.4956211,0.2739295,0.002886723,0.008408893,0.0001561586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3648139,0.000889656,0.6228509,0.0003939601,0.0002079671,0.0003048401,0.001586803,0.003463547,0.005488459],"genre_scores_gemma":[0.7324102,0.0007738149,0.2613046,0.0002189314,0.000163235,0.0003084035,0.0008907396,0.0001060097,0.003824123],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001801422,"threshold_uncertainty_score":0.006026387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01523659156958544,"score_gpt":0.35184173774515,"score_spread":0.3366051461755645,"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."}}