{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00769426,0.0004698005,0.0009585539,0.001204644,0.001012202,0.007696492,0.001549702,0.004335996,0.004129165],"category_scores_gemma":[0.01322592,0.0003725139,0.0005159609,0.00215934,0.002318453,0.01034213,0.002328157,0.004155196,0.001657463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001891189,"about_ca_system_score_gemma":0.001188059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005085586,"about_ca_topic_score_gemma":0.003947917,"domain_scores_codex":[0.9957541,0.002029455,0.0001655323,0.0004496451,0.001257359,0.0003438929],"domain_scores_gemma":[0.9846702,0.01085717,0.0005637934,0.0007863909,0.002429929,0.0006925733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00029608,0.0003761707,0.01347124,0.001059922,0.000134719,0.0004186566,0.001196204,0.01493963,0.001808943,0.2309095,0.03882429,0.6965647],"study_design_scores_gemma":[0.00008868108,0.0006282529,0.01520785,0.001640604,0.0001011881,0.001342552,0.008294796,0.2342884,0.003068151,0.4178393,0.3172282,0.0002719662],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.09112035,0.3195708,0.1165206,0.3712846,0.002984501,0.0001409221,0.0007461501,0.0005301639,0.09710199],"genre_scores_gemma":[0.7923034,0.1266791,0.05557172,0.008583512,0.004540171,0.00008902678,0.0005260207,0.00008517726,0.01162176],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.007696492,"threshold_uncertainty_score":0.04069161,"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."}}