{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005272932,0.001026172,0.0004696446,0.001237799,0.0002113614,0.0006960648,0.0004965497,0.0005744551,0.0009057119],"category_scores_gemma":[0.001760325,0.0001973071,0.0006352969,0.0007429117,0.0001669156,0.0006923285,0.0009268996,0.001008555,0.0006076021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005001463,"about_ca_system_score_gemma":0.0004595459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005938935,"about_ca_topic_score_gemma":0.009311903,"domain_scores_codex":[0.999712,0.00005569639,0.00002637901,0.00009855784,0.00005514502,0.00005215751],"domain_scores_gemma":[0.999451,0.0001906431,0.00008845781,0.00004546046,0.0001447385,0.00007975668],"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":[0.0005443717,0.001325741,0.3966091,0.0001950124,0.0003079811,0.0002564346,0.0002498847,0.07904952,0.005367338,0.0008223692,0.007326024,0.5079463],"study_design_scores_gemma":[0.0000134962,0.0001771338,0.06562589,0.00003752687,0.00006304539,0.00004982457,0.0001421815,0.9274175,0.003260452,0.002114131,0.00106814,0.00003082799],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8767681,0.001489023,0.1110893,0.001266385,0.0001775664,0.0001105809,0.004048857,0.001291472,0.00375876],"genre_scores_gemma":[0.9847183,0.000310505,0.01088136,0.00009671723,0.00005110784,0.0000485437,0.002481159,0.00001241705,0.001399914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005938935,"threshold_uncertainty_score":0.01180875,"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."}}