{"id":"W3117189938","doi":"10.1371/journal.pcbi.1008485","title":"Ten simple rules for creating a brand-new virtual academic meeting (even amid a pandemic)","year":2020,"lang":"en","type":"editorial","venue":"PLoS Computational Biology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto; Centre for Addiction and Mental Health; University Health Network","funders":"Krembil Foundation","keywords":"Democratization; Blueprint; Presentation (obstetrics); Attendance; Public relations; Social media; Pandemic; Infographic; Political science; Coronavirus disease 2019 (COVID-19); Sociology; Engineering; Politics; Computer science; Medicine; Democracy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01736273,0.0009950048,0.0003463439,0.00101141,0.009358927,0.01771923,0.003800064,0.003659473,0.01238261],"category_scores_gemma":[0.03098826,0.0008819099,0.0006849921,0.0006044905,0.0167165,0.01301563,0.01168241,0.006757812,0.005783766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004586099,"about_ca_system_score_gemma":0.008708301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00761466,"about_ca_topic_score_gemma":0.01333978,"domain_scores_codex":[0.9784726,0.01313688,0.0008334038,0.001782369,0.00372504,0.002049717],"domain_scores_gemma":[0.9821855,0.005578276,0.001252032,0.002779034,0.002885053,0.0053201],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000268808,0.0002842012,0.007274011,0.0008986072,0.00006335049,0.001060085,0.07243998,0.003829663,0.006267513,0.6444448,0.09206995,0.1710991],"study_design_scores_gemma":[0.00009325739,0.0002454831,0.003695924,0.001135149,0.0000409041,0.0008440725,0.0490167,0.004308119,0.002456158,0.1930901,0.7447804,0.0002937656],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.09829171,0.002143026,0.2650627,0.0929494,0.005595194,0.001961865,0.0003704786,0.003183528,0.5304421],"genre_scores_gemma":[0.7038468,0.001535471,0.2170984,0.009637915,0.000658322,0.001864468,0.0002990597,0.001104894,0.06395467],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.9826373,"threshold_uncertainty_score":0.091824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04343720656501704,"score_gpt":0.3036327894440246,"score_spread":0.2601955828790075,"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."}}