{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001010285,0.0002025736,0.0002292182,0.0004781116,0.000449664,0.0005681567,0.0004016389,0.0001091334,0.00001613843],"category_scores_gemma":[0.0001269197,0.0001930667,0.00008644382,0.0009264358,0.00003333406,0.003185652,0.00007229428,0.0001887863,0.0002944786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003718373,"about_ca_system_score_gemma":0.00005424373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003548796,"about_ca_topic_score_gemma":0.000004153007,"domain_scores_codex":[0.998314,0.0002014848,0.0005988363,0.0002203333,0.0003329196,0.0003323909],"domain_scores_gemma":[0.9988441,0.0001568236,0.0003990267,0.000347432,0.0001846843,0.00006789869],"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":[0.00004319399,0.0000274865,0.0006906064,0.0009861954,0.00003242832,0.00000760758,0.006281274,0.007271369,0.0001498102,0.117873,0.002397904,0.8642391],"study_design_scores_gemma":[0.0004805359,0.0001888352,0.00117235,0.0003410165,0.000004095688,0.00001580793,0.001452056,0.9662266,0.0008224283,0.0007977844,0.02821023,0.0002882981],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003124123,0.00001374053,0.9590892,0.0002665436,0.0005667492,0.0004395145,0.000005119762,0.002638372,0.03385665],"genre_scores_gemma":[0.9860861,0.00001294008,0.0131218,0.0002353252,0.00004910394,0.000197814,0.0001807525,0.00001318665,0.000102977],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.982962,"threshold_uncertainty_score":0.7873033,"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."}}