{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006710998,0.0002638358,0.0005643282,0.0001564393,0.0004497112,0.00007050612,0.0001351885,0.0003649993,0.00006114951],"category_scores_gemma":[0.0001100955,0.0002664445,0.00004468355,0.00000724148,0.002054336,0.00007089594,0.0002658086,0.0002182256,0.000022133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001497516,"about_ca_system_score_gemma":0.0004102742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001293951,"about_ca_topic_score_gemma":0.008825957,"domain_scores_codex":[0.9989601,0.0000134941,0.0003273874,0.0003154165,0.00006602234,0.0003175437],"domain_scores_gemma":[0.9983167,0.0007861471,0.0001141392,0.0001306305,0.00001486649,0.0006375394],"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":[0.00001192167,0.000002561468,0.000002769184,0.0001781861,0.000230345,0.000002583827,0.01816628,1.810785e-7,9.343972e-9,0.9648638,0.0008229981,0.01571841],"study_design_scores_gemma":[0.0001829245,0.00002105466,0.00001925679,0.00003202372,0.00002914531,0.000004512056,0.01032168,0.000004408263,1.079613e-7,0.4491172,0.5400745,0.0001932855],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.003585997,0.0121471,0.000001515652,0.06699812,0.0001418257,0.0002666517,0.0002353081,0.000084978,0.9165385],"genre_scores_gemma":[0.04434175,0.8916863,0.00001120942,0.005436219,0.0006460345,0.00002915181,0.00002868473,0.00003476062,0.05778588],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8795392,"threshold_uncertainty_score":0.9999788,"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."}}