{"id":"W4394295798","doi":"10.6084/m9.figshare.16893051","title":"Additional file 4 of A small number of early introductions seeded widespread transmission of SARS-CoV-2 in Québec, Canada","year":2021,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Plant Virus Research Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transmission (telecommunications); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Biology; Virology; Geography; Computer science; Medicine; Telecommunications; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001281655,0.001209436,0.001466264,0.003150352,0.002316502,0.002516389,0.002707281,0.00164885,0.4158],"category_scores_gemma":[0.01830657,0.0005716501,0.001352425,0.006636795,0.0005216358,0.001021675,0.001015328,0.001311047,0.0465389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008622654,"about_ca_system_score_gemma":0.01773842,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8153973,"about_ca_topic_score_gemma":0.9064831,"domain_scores_codex":[0.9991726,0.00008255315,0.00009704799,0.0002448733,0.0001914791,0.000211297],"domain_scores_gemma":[0.9864159,0.006030913,0.0006753224,0.001362478,0.004835231,0.0006801875],"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":[0.00009162135,0.00001712782,0.003837155,0.0008541425,0.00005425652,0.00002374885,0.00003933459,0.0003001702,0.0000521191,0.000387812,0.9924883,0.001854405],"study_design_scores_gemma":[0.001610071,0.0000434315,0.05868946,0.002380356,0.0002714321,0.0001317361,0.0004045305,0.001711897,0.000476059,0.002140047,0.9320255,0.0001154271],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006534702,0.0000145006,0.00002218514,0.0000226638,0.000006128193,0.000007729162,0.9995745,0.00003793276,0.0002490966],"genre_scores_gemma":[0.002459284,0.00005787328,0.0004789843,0.0001006596,0.00001157847,0.0001536598,0.9943284,0.00009570244,0.002313868],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4158,"threshold_uncertainty_score":0.8332903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06281042585777312,"score_gpt":0.2953949707356825,"score_spread":0.2325845448779094,"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."}}