{"id":"W3040141037","doi":"10.15353/acmla.n164.1730","title":"2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository","year":2020,"lang":"en","type":"article","venue":"Bulletin - Association of Canadian Map Libraries and Archives (ACMLA)","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Context (archaeology); Coronavirus; Coronavirus Infections; Virology; Computer science; Library science; Data science; Geography; Medicine; Outbreak; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004360182,0.0002615276,0.0006256148,0.0001582219,0.0005139063,0.0001187878,0.0007039592,0.0001593341,0.0004047994],"category_scores_gemma":[0.01024039,0.0002481488,0.0001028584,0.0002003477,0.0002609949,0.0001369152,0.0006422013,0.0002848267,0.0000287544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009942862,"about_ca_system_score_gemma":0.0006304774,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02191188,"about_ca_topic_score_gemma":0.004866584,"domain_scores_codex":[0.9976699,0.0002757842,0.0006630331,0.0005987198,0.0002913347,0.0005012278],"domain_scores_gemma":[0.9910089,0.006965772,0.0006161538,0.0005123388,0.00002558184,0.0008712427],"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":[0.00008814593,0.0000419823,0.03827326,0.0002379654,0.0002032024,0.00001541713,0.001437568,0.00001547764,0.0001510587,0.09753232,0.8612746,0.0007289914],"study_design_scores_gemma":[0.0006221234,0.00008851504,0.02107988,0.00003280707,0.00006487742,0.000001808147,0.0002864293,0.0002172139,0.0000303774,0.02040459,0.9568925,0.0002788538],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.008978774,0.004628852,0.007133741,0.9340711,0.0006958394,0.001476569,0.008978944,0.000438292,0.03359791],"genre_scores_gemma":[0.293564,0.008080317,0.2900007,0.2904921,0.005158199,0.0002185902,0.004687362,0.0005010125,0.1072977],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.643579,"threshold_uncertainty_score":0.9999971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2090479415180505,"score_gpt":0.3384281560139691,"score_spread":0.1293802144959186,"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."}}