{"id":"W4205591125","doi":"10.2196/preprints.25734","title":"Quantifying the Influence of Delay in Opinion Transmission of COVID-19 Information Propagation: Modeling Study (Preprint)","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fields Institute for Research in Mathematical Sciences; York University","funders":"","keywords":"Preprint; Transmission (telecommunications); Computer science; Public opinion; Coronavirus disease 2019 (COVID-19); Information Dissemination; Social media; Interval (graph theory); Telecommunications; World Wide Web; Medicine; Mathematics; Political science; Law","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":[0.001026058,0.0006872925,0.0004776022,0.0007792402,0.0004205141,0.001103755,0.0008238076,0.001488411,0.002537222],"category_scores_gemma":[0.00548424,0.0002786285,0.0009913817,0.0005109619,0.0004357161,0.001181794,0.0005897906,0.0008737906,0.0003165392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001300476,"about_ca_system_score_gemma":0.0008212861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02782409,"about_ca_topic_score_gemma":0.009532169,"domain_scores_codex":[0.9995858,0.0001442675,0.00001788158,0.00008941559,0.00005156832,0.0001110553],"domain_scores_gemma":[0.9945338,0.004239116,0.0005948712,0.0001335723,0.0003544693,0.0001440761],"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":[0.0001255936,0.0002202549,0.01967488,0.0001533828,0.00007029577,0.0003189934,0.000194528,0.9587481,0.002830302,0.008098715,0.00243518,0.007129687],"study_design_scores_gemma":[0.000005798864,0.00003817004,0.001725564,0.000006396161,0.00001563639,0.00002673401,0.0000508643,0.9969354,0.0004088962,0.0005582115,0.0002190587,0.00000923871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9368268,0.0008248404,0.05082603,0.001207256,0.0001829862,0.0001312637,0.001145108,0.000226171,0.008629452],"genre_scores_gemma":[0.9928777,0.0002604592,0.004110143,0.00005650494,0.00003888542,0.00004926438,0.0002732433,0.00002308838,0.002310757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02782409,"threshold_uncertainty_score":0.05532432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06576950806805565,"score_gpt":0.348335218894282,"score_spread":0.2825657108262263,"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."}}