{"id":"W2167698423","doi":"10.1258/jtt.2009.090311","title":"Pandemic influenza planning by videoconference","year":2009,"lang":"en","type":"article","venue":"Journal of Telemedicine and Telecare","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute on Governance","funders":"","keywords":"Preparedness; Videoconferencing; Pandemic; Usability; Medicine; Public health; Influenza pandemic; Medical emergency; Coronavirus disease 2019 (COVID-19); Business; Public relations; Nursing; Political science; Telecommunications; Computer science; Disease","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":[0.001786566,0.0004219961,0.0001440004,0.0004544134,0.000401345,0.0006935995,0.0007598755,0.0005031044,0.01975588],"category_scores_gemma":[0.006096643,0.0001140874,0.000241253,0.0003299419,0.0001746147,0.0009429991,0.001013493,0.0005151726,0.00226409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003695768,"about_ca_system_score_gemma":0.0007144194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002052288,"about_ca_topic_score_gemma":0.002605882,"domain_scores_codex":[0.9993316,0.0004130575,0.00002912522,0.00006155704,0.00009803914,0.00006668991],"domain_scores_gemma":[0.997965,0.001274447,0.0001596804,0.0001744543,0.0001963454,0.0002301997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008112991,0.001166498,0.008982383,0.0005074114,0.00004479195,0.000461718,0.00161216,0.003000572,0.006128299,0.002036415,0.04350937,0.9317391],"study_design_scores_gemma":[0.002840533,0.01317134,0.1237955,0.002020908,0.0003145891,0.00466376,0.01972509,0.04256284,0.05520907,0.02630365,0.708994,0.0003987861],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.538358,0.004565751,0.1494517,0.008556881,0.001122569,0.004930235,0.003183429,0.003701088,0.2861302],"genre_scores_gemma":[0.8609393,0.002894299,0.1143192,0.001059655,0.000429234,0.001454596,0.001387399,0.00009545391,0.01742075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01975588,"threshold_uncertainty_score":0.06608999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0846072004470797,"score_gpt":0.4130494139854164,"score_spread":0.3284422135383367,"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."}}