{"id":"W4323844718","doi":"10.18280/isi.280121","title":"Stratified Advance Personalized Recommendation System Based on Deep Learning","year":2023,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Deep learning; Personalized learning; Artificial intelligence; Data science; Psychology; Mathematics education","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":[0.0005581835,0.0006704543,0.001287969,0.0008335304,0.0006152748,0.0005989096,0.001548845,0.0008408565,0.005313336],"category_scores_gemma":[0.001018151,0.0004140313,0.0006505811,0.0009523632,0.0002140275,0.001305776,0.0005964126,0.0009666102,0.00249916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008806109,"about_ca_system_score_gemma":0.001252901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02903782,"about_ca_topic_score_gemma":0.0478966,"domain_scores_codex":[0.9995303,0.00004563466,0.00003746172,0.0001323561,0.0001814646,0.00007283562],"domain_scores_gemma":[0.9994962,0.00007892486,0.00003496746,0.0001068823,0.0002378522,0.00004527746],"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":[0.0009753157,0.0009207664,0.007445896,0.0002887467,0.0002953379,0.0004646654,0.0001377781,0.1595123,0.02033731,0.006062767,0.03021896,0.7733402],"study_design_scores_gemma":[0.00006610723,0.000137928,0.00124043,0.00000973765,0.00005401771,0.0001381024,0.00001188795,0.9882234,0.004297148,0.001805941,0.003980209,0.00003517175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09156044,0.001730204,0.8706043,0.0005810876,0.0002809101,0.0003842942,0.001878675,0.01977452,0.01320565],"genre_scores_gemma":[0.7151929,0.000865857,0.250336,0.0004493312,0.0001302437,0.0002597815,0.003132531,0.0001442861,0.0294892],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02903782,"threshold_uncertainty_score":0.05773765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01882279167732803,"score_gpt":0.249953995856011,"score_spread":0.231131204178683,"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."}}