{"id":"W3101412217","doi":"10.5220/0010145702890295","title":"Personalised Recommendation Systems and the Impact of COVID-19: Perspectives, Opportunities and Challenges","year":2020,"lang":"en","type":"article","venue":"","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Computer science; Swift; Pandemic; Data science; Recommender system; 2019-20 coronavirus outbreak; Machine learning","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":[0.0003720701,0.00006408348,0.0001491471,0.00004037526,0.00007886783,0.000105837,0.0001184649,0.00001556163,0.00005921382],"category_scores_gemma":[0.00006321807,0.00003676177,0.00004829439,0.00007637238,0.00007958055,0.000190082,0.00008137636,0.0000296143,4.50521e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001448301,"about_ca_system_score_gemma":0.00004580807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002846854,"about_ca_topic_score_gemma":0.000002278983,"domain_scores_codex":[0.9994333,0.0001300243,0.0001194237,0.000165646,0.00008787166,0.00006370312],"domain_scores_gemma":[0.9994952,0.0001793337,0.00008654164,0.00008635516,0.00003989188,0.000112665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000684379,0.00003163748,0.0009267897,0.0001171138,0.0003623157,0.000002305648,0.1416645,0.0001223461,0.00006544084,0.8337428,0.00403385,0.01886247],"study_design_scores_gemma":[0.001458166,0.0002045856,0.001142249,0.00001160917,0.00002524214,0.00001017578,0.1485204,0.8439651,0.0000106547,0.0002724153,0.004244969,0.0001344857],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05829617,0.06241083,0.2187531,0.6376708,0.0001423681,0.0007628074,0.00001866101,0.000220039,0.0217252],"genre_scores_gemma":[0.9910365,0.008208215,0.0003611027,0.0002899178,0.00003373579,0.000003587852,0.000002557242,0.000002273044,0.00006210821],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9327403,"threshold_uncertainty_score":0.1499102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2002128722658639,"score_gpt":0.3318744094625014,"score_spread":0.1316615371966374,"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."}}