{"id":"W4296267043","doi":"10.1007/s42979-022-01328-1","title":"Context-Aware Interactive Knowledge-Based Recommendation","year":2022,"lang":"en","type":"article","venue":"SN Computer Science","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Recommender system; Computer science; Context (archaeology); Product (mathematics); Brick and mortar; Collaborative filtering; World Wide Web; General partnership; Business; The Internet","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":[0.001480969,0.0001796472,0.0001985286,0.0004777804,0.001063565,0.0004979677,0.002694971,0.00002398181,0.00008786128],"category_scores_gemma":[0.00001315185,0.0001762015,0.00008371544,0.00167707,0.0001332062,0.001250764,0.002005905,0.0002973578,0.00003762034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000415653,"about_ca_system_score_gemma":0.000446272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000708214,"about_ca_topic_score_gemma":0.0000124535,"domain_scores_codex":[0.9977567,0.0002490157,0.0003170961,0.0008179366,0.0004430266,0.0004161957],"domain_scores_gemma":[0.9985487,0.0001663946,0.0001941897,0.000726082,0.00022519,0.0001393776],"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":[0.000006799179,0.0002526632,0.0003737563,0.00001172189,0.000009480542,0.00001111224,0.002037375,0.0002399635,0.000240155,0.02376885,0.0165763,0.9564718],"study_design_scores_gemma":[0.0003693892,0.0004213106,0.0006391645,0.00002422487,0.000001974647,0.00005533866,0.00008926402,0.8699284,0.004720725,0.001834264,0.1215727,0.0003431891],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001236276,0.00003009716,0.9888786,0.002772463,0.003219946,0.0002934572,0.000005588918,0.0005106249,0.003052959],"genre_scores_gemma":[0.9487016,8.389545e-7,0.04935199,0.00164196,0.00009845845,0.0001144983,0.0000057407,0.000008884583,0.00007600395],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9561287,"threshold_uncertainty_score":0.8180191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02448850643237393,"score_gpt":0.2867531336385342,"score_spread":0.2622646272061603,"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."}}