{"id":"W4317495560","doi":"10.1063/5.0111349","title":"Item recommendation using user feedback data and item profile","year":2023,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Icon; Computer science; Citation; Information retrieval; Download; World Wide Web; Search engine optimization; Search engine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004808968,0.0001452179,0.0001585045,0.0001532814,0.00018889,0.0006083379,0.0008530319,0.00007131964,0.00003310671],"category_scores_gemma":[0.0003073877,0.0001387983,0.00001718571,0.0007273307,0.00004306183,0.001367168,0.001011753,0.0002079475,0.0001342858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002218781,"about_ca_system_score_gemma":0.00009196348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001957901,"about_ca_topic_score_gemma":0.00000217578,"domain_scores_codex":[0.9986994,0.00001198343,0.0002114199,0.0005805104,0.0001892695,0.0003074721],"domain_scores_gemma":[0.9991952,0.00008624688,0.0001322469,0.0002670067,0.0002199646,0.00009938136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002269303,0.0001619625,0.5457321,0.0005484247,0.0001226195,0.00001827707,0.008635837,0.00001144942,0.02556674,0.06137642,0.05082666,0.3069768],"study_design_scores_gemma":[0.0001580435,0.00003835603,0.006991166,0.00007946837,0.00001112901,0.00001355168,0.0004443921,0.9787747,0.0001323693,0.001455145,0.01171137,0.0001903473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8672421,0.00003451204,0.09876736,0.02799747,0.0004145202,0.0003674902,0.00004025085,0.00115364,0.003982687],"genre_scores_gemma":[0.9728044,0.00006259772,0.02494996,0.0002300861,0.0001257706,0.000004732058,0.00006552138,0.00001579433,0.001741078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9787632,"threshold_uncertainty_score":0.5866216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08364832966811704,"score_gpt":0.3224532027843907,"score_spread":0.2388048731162737,"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."}}