{"id":"W4386836828","doi":"10.18280/ria.370408","title":"Predicting Student Performance Using Mental Health and Linguistic Attributes with Deep Learning","year":2023,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mental health; Psychology; Linguistics; Computer science; Artificial intelligence; Natural language processing; Psychiatry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005637075,0.0001438257,0.0001903607,0.0001397766,0.0006454642,0.0001757097,0.0003253385,0.00003147805,0.000004080403],"category_scores_gemma":[0.0001317672,0.0001303295,0.0000302662,0.0008130833,0.00006309416,0.0001547384,0.000241864,0.0002865226,0.00006144041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005549873,"about_ca_system_score_gemma":0.00006773887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002507672,"about_ca_topic_score_gemma":0.000006611392,"domain_scores_codex":[0.9985733,0.00006449885,0.0003029796,0.0004035045,0.0002312765,0.0004244665],"domain_scores_gemma":[0.9992501,0.0001229743,0.0001476248,0.0002510945,0.00007694087,0.0001512635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009360045,0.00007828735,0.2317072,0.0001853277,0.00003388763,0.00002777515,0.02269784,0.673855,0.0002290586,0.001824512,0.00002315978,0.06932864],"study_design_scores_gemma":[0.00003813042,0.0003354695,0.0009115591,0.0002520281,0.000004445299,0.00004427771,0.002314986,0.9945839,0.0003906326,0.0000662894,0.0009065128,0.0001517505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8402265,0.0004571264,0.1570347,0.001436454,0.0001989644,0.0001408442,0.000001053525,0.0003631968,0.0001411051],"genre_scores_gemma":[0.9921343,0.0003761055,0.00669896,0.00006460215,0.0001063338,0.000003109205,0.000008653673,0.00001523161,0.0005926449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3207289,"threshold_uncertainty_score":0.5314683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04179218164525221,"score_gpt":0.3153006318425923,"score_spread":0.2735084501973401,"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."}}