{"id":"W3216519624","doi":"10.1136/bmj.n2978","title":"The eyes have it: getting the gist of covid-19 transmission","year":2021,"lang":"en","type":"article","venue":"BMJ","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Computer science; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Visualization; Transmission (telecommunications); GiST; Data science; World Wide Web; Multimedia; Human–computer interaction; Medicine; Artificial intelligence; Telecommunications; Virology; Pathology; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003807913,0.001575554,0.0004769155,0.002022447,0.002256622,0.006696108,0.001352308,0.003516753,0.08204488],"category_scores_gemma":[0.04170189,0.0006272951,0.001206741,0.001117455,0.001720532,0.005505707,0.006738713,0.002887279,0.01972776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001179978,"about_ca_system_score_gemma":0.001747539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004067858,"about_ca_topic_score_gemma":0.005838396,"domain_scores_codex":[0.9984046,0.0008453658,0.0000630909,0.00009418382,0.000363048,0.000229836],"domain_scores_gemma":[0.9915986,0.005575683,0.0003825256,0.0004237941,0.00106,0.0009593594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000388138,0.00005547212,0.00224563,0.0007107071,0.00004928403,0.0008969147,0.008772325,0.0005725214,0.0008079467,0.008050552,0.8378,0.1396505],"study_design_scores_gemma":[0.0001371668,0.00019245,0.002646021,0.001370958,0.00009008926,0.00106328,0.0101054,0.001795613,0.001330149,0.02083778,0.9603005,0.0001305255],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.05294269,0.01653836,0.1223809,0.284899,0.03479105,0.0009197813,0.00836369,0.04276029,0.4364042],"genre_scores_gemma":[0.3847662,0.0208009,0.2511634,0.06188167,0.008879352,0.001654042,0.006113626,0.01494153,0.2497993],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.08204488,"threshold_uncertainty_score":0.2744674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03465039314953859,"score_gpt":0.3611381108304089,"score_spread":0.3264877176808703,"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."}}