{"id":"W4382239546","doi":"10.1007/978-981-19-7826-5_36","title":"Covid-19 and Internet Medical Platforms: Opportunities and Challenges","year":2023,"lang":"en","type":"book-chapter","venue":"Applied economics and policy studies","topic":"Post-Communist Economic and Political Transition","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"The Internet; Pandemic; Internet privacy; Coronavirus disease 2019 (COVID-19); Revenue; Enforcement; Value (mathematics); Business; Public relations; Knowledge management; Marketing; Political science; Computer science; Medicine; Law; World Wide Web; Accounting","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":[0.006277524,0.0006281593,0.0004883603,0.002311026,0.00286576,0.02254179,0.002475676,0.005840077,0.04952048],"category_scores_gemma":[0.007961144,0.0003844613,0.0004649202,0.004769429,0.006521758,0.0158851,0.005014279,0.006532277,0.00804286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007200166,"about_ca_system_score_gemma":0.0094686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009579013,"about_ca_topic_score_gemma":0.01584242,"domain_scores_codex":[0.9976688,0.0008807619,0.0000742885,0.0001582433,0.0008464403,0.000371383],"domain_scores_gemma":[0.9917242,0.005008955,0.0002934718,0.0004415767,0.001116554,0.001415348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005467234,0.00003198074,0.0001382569,0.00005300877,0.000002021933,0.00002593421,0.0002173656,0.0000954339,0.00004215862,0.8232522,0.1334091,0.04272719],"study_design_scores_gemma":[0.000006446861,0.0000180655,0.0005631668,0.0004093484,0.000002451435,0.0000927881,0.0009029913,0.0005971496,0.0001355354,0.1547164,0.8425363,0.00001936147],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.003566046,0.02620259,0.003898086,0.1294499,0.005128388,0.00005246261,0.0003711628,0.0001516127,0.8311798],"genre_scores_gemma":[0.1288246,0.06433455,0.011786,0.04182542,0.01219313,0.0003459578,0.001348425,0.0006964114,0.7386456],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.04952048,"threshold_uncertainty_score":0.1656625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2952860866751333,"score_gpt":0.3634957484121442,"score_spread":0.06820966173701093,"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."}}