{"id":"W4409576390","doi":"10.61091/jcmcc127a-127","title":"Design of Deep Learning-Based Emotion Classification and Intervention Pathways for Students in Psychoeducation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychoeducation; Intervention (counseling); Psychology; Computer science; Applied psychology; Artificial intelligence; 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":[0.0006191009,0.0006267258,0.0005143466,0.0003733642,0.0003680524,0.0006213193,0.001334774,0.000684593,0.005618768],"category_scores_gemma":[0.001076845,0.0003170082,0.0004936528,0.0001687686,0.000257508,0.0009277716,0.001007669,0.0008056781,0.0005690839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008361684,"about_ca_system_score_gemma":0.00141406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002527137,"about_ca_topic_score_gemma":0.002610449,"domain_scores_codex":[0.9996868,0.00007225753,0.00001547922,0.0001117439,0.00003637664,0.00007737853],"domain_scores_gemma":[0.9997447,0.00006126804,0.00002774554,0.00001368181,0.00008455697,0.00006807348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002417105,0.004064736,0.01734741,0.0004475171,0.0002328812,0.0003798343,0.0007532143,0.307748,0.04296041,0.007744494,0.005067642,0.6108367],"study_design_scores_gemma":[0.000107667,0.0007050149,0.002175265,0.00001893008,0.00005801196,0.00003554719,0.0001662434,0.9844031,0.007479001,0.003748498,0.001085667,0.000016946],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1512191,0.0001991306,0.8406094,0.0006230225,0.00007667913,0.001147766,0.0001623862,0.001827499,0.004135168],"genre_scores_gemma":[0.8589906,0.0001471229,0.1341242,0.0002650142,0.00001583067,0.001973265,0.0001765212,0.00004671225,0.004260738],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005618768,"threshold_uncertainty_score":0.01879668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02429946461779489,"score_gpt":0.3278148539764454,"score_spread":0.3035153893586505,"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."}}