{"id":"W4394305231","doi":"10.6084/m9.figshare.16893048","title":"Additional file 3 of A small number of early introductions seeded widespread transmission of SARS-CoV-2 in Québec, Canada","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Plant Virus Research Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Transmission (telecommunications); Seeding; 2019-20 coronavirus outbreak; Biology; Virology; Geography; Computer science; Medicine; Infectious disease (medical specialty); Telecommunications; Outbreak; Disease; Agronomy","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":[0.001309219,0.001117283,0.00153396,0.003940109,0.002466978,0.002397875,0.002618033,0.001403473,0.5154943],"category_scores_gemma":[0.01508951,0.0005843978,0.001211999,0.009922866,0.000436838,0.00113881,0.001117265,0.001106835,0.0513996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009545152,"about_ca_system_score_gemma":0.01878033,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8631263,"about_ca_topic_score_gemma":0.9206431,"domain_scores_codex":[0.9991704,0.00007731275,0.000101194,0.0002087006,0.000207845,0.0002344614],"domain_scores_gemma":[0.9875361,0.004229328,0.0007032923,0.001141413,0.005646592,0.0007431701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00007252846,0.00001404016,0.00280399,0.0008146977,0.00003680383,0.00002080438,0.00004632402,0.0002188813,0.00003748015,0.0004145936,0.9935142,0.00200558],"study_design_scores_gemma":[0.001185428,0.00003892405,0.0524833,0.002341704,0.0001797217,0.00009230678,0.0004935426,0.0009727848,0.000302722,0.001631903,0.9401767,0.0001009744],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004410986,0.000009246413,0.00001559567,0.00001921981,0.000005047841,0.000008465685,0.9995628,0.00002682055,0.0003086669],"genre_scores_gemma":[0.002520197,0.00006647417,0.0005171135,0.00009549405,0.00001207105,0.000222183,0.9929878,0.0001015104,0.003477158],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5154943,"threshold_uncertainty_score":0.6910885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06285876124236292,"score_gpt":0.2657957302958298,"score_spread":0.2029369690534669,"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."}}