{"id":"W6966520192","doi":"10.48448/8qte-cd05","title":"Knowledge-Enhanced Top-K Recommendation in Poincaré Ball","year":2021,"lang":"en","type":"other","venue":"Underline Science Inc.","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute; McGill University","funders":"","keywords":"Recommender system; Regularization (linguistics); Collaborative filtering; Knowledge graph; Personalization; Key (lock)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001532111,0.0007986081,0.002409501,0.00169535,0.001011382,0.001658018,0.003378657,0.001771618,0.006468777],"category_scores_gemma":[0.005409404,0.0006696006,0.001259355,0.003023145,0.001370284,0.002382737,0.001608385,0.001288327,0.002706088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001770764,"about_ca_system_score_gemma":0.001877162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06629027,"about_ca_topic_score_gemma":0.03449993,"domain_scores_codex":[0.9986272,0.000456108,0.00007916698,0.0003434604,0.0003579589,0.0001361167],"domain_scores_gemma":[0.9976075,0.001117406,0.0001858719,0.0004278138,0.0005227911,0.0001386224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004515453,0.0002540199,0.002538492,0.000276271,0.0001553507,0.0002886543,0.0001863207,0.7575392,0.001657507,0.04617852,0.01398878,0.1764853],"study_design_scores_gemma":[0.00001360277,0.00002383625,0.0001782073,0.000008658817,0.000008427278,0.00002247077,0.0000078523,0.9879478,0.0001808894,0.01077678,0.000822419,0.000009068653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05572619,0.003355435,0.9243438,0.001198904,0.0002501122,0.0001590301,0.0006574913,0.001790133,0.0125188],"genre_scores_gemma":[0.7683369,0.002420655,0.2055884,0.0009420851,0.0004090834,0.0002243507,0.002018421,0.0002263733,0.01983384],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06629027,"threshold_uncertainty_score":0.1318088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03350462015131252,"score_gpt":0.3454285130582876,"score_spread":0.3119238929069751,"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."}}