{"id":"W4392350025","doi":"10.18280/ts.410127","title":"Intelligent Recommendation System for Personalized Learning Resources for College Students Based on Image Processing","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Multimedia; Image processing; Personalized learning; Recommender system; Image (mathematics); Artificial intelligence; World Wide Web; Mathematics education; Psychology; Teaching method","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":[0.0004036776,0.0005918288,0.001133007,0.001516618,0.0006618724,0.0008414601,0.0009518515,0.0007632967,0.002961159],"category_scores_gemma":[0.0009154345,0.0003033416,0.0008209578,0.001250997,0.0001920132,0.00117486,0.0004366277,0.0004905583,0.001733465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004938045,"about_ca_system_score_gemma":0.0007618026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01847207,"about_ca_topic_score_gemma":0.02002547,"domain_scores_codex":[0.9996085,0.00003302563,0.0000388106,0.0001341638,0.0001346571,0.00005087244],"domain_scores_gemma":[0.9996723,0.00004776203,0.00002247263,0.00005142368,0.0001715555,0.00003437914],"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":[0.0009719958,0.0005175294,0.01086173,0.000332143,0.0001617602,0.0006014144,0.0002662148,0.02425634,0.08899273,0.002746664,0.02764772,0.8426437],"study_design_scores_gemma":[0.0001943815,0.0003256908,0.009707718,0.00003626106,0.000276851,0.0004747217,0.0001866034,0.9421026,0.0338778,0.001945867,0.01076103,0.0001105006],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.127743,0.001329769,0.8460775,0.0006651912,0.0002679536,0.0005050285,0.001077261,0.01328807,0.009046221],"genre_scores_gemma":[0.6803105,0.001274231,0.3020365,0.0003771822,0.0001498136,0.0003544843,0.002018256,0.0001644184,0.01331466],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01847207,"threshold_uncertainty_score":0.0367291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03961248166220428,"score_gpt":0.3446167813376683,"score_spread":0.3050042996754641,"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."}}