{"id":"W4408359365","doi":"10.1109/icses63760.2024.10910497","title":"Student Interest Identification in Education Using Deep Learning Approach","year":2024,"lang":"en","type":"article","venue":"","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Identification (biology); Computer science; Artificial intelligence; Deep learning; Machine learning; Mathematics education; Psychology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001523006,0.0005257454,0.0003964916,0.002093297,0.0004480488,0.001567595,0.0007194016,0.000866425,0.001566731],"category_scores_gemma":[0.004646118,0.0002214518,0.000396891,0.0009816894,0.0004672291,0.00172299,0.001785057,0.001235771,0.0004534569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008525521,"about_ca_system_score_gemma":0.000700633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001863508,"about_ca_topic_score_gemma":0.002552658,"domain_scores_codex":[0.9988661,0.0004914383,0.00006727309,0.0002120205,0.0001798704,0.0001832537],"domain_scores_gemma":[0.9973946,0.001541274,0.0003215081,0.0001797321,0.0003750167,0.0001879197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004318081,0.001197628,0.08820462,0.0001791099,0.0001227305,0.0003284776,0.003030044,0.04106091,0.01145231,0.01084718,0.003080371,0.8400647],"study_design_scores_gemma":[0.0000184121,0.0002383724,0.02526323,0.00006484502,0.00004124411,0.0002036602,0.001606374,0.9277768,0.01790769,0.0229183,0.003907725,0.00005341214],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4504333,0.0003082372,0.5391055,0.001113026,0.00004343536,0.0001916008,0.0004240889,0.001214851,0.00716595],"genre_scores_gemma":[0.9332197,0.00006789866,0.06395118,0.0001089416,0.00001687598,0.00008057155,0.0001973366,0.0000184465,0.002338995],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002093297,"threshold_uncertainty_score":0.008054495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0349587895024939,"score_gpt":0.3508916094835772,"score_spread":0.3159328199810832,"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."}}