{"id":"W6912345640","doi":"10.5281/zenodo.4146164","title":"Covid 19 Dashboard","year":2020,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dashboard; Position (finance); Coronavirus disease 2019 (COVID-19); Pandemic; Key (lock); Government (linguistics)","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":[0.002004897,0.001829331,0.001184425,0.003489484,0.002147566,0.009253007,0.002417917,0.002404819,0.791041],"category_scores_gemma":[0.009441693,0.00085179,0.0007589564,0.004819728,0.0005482913,0.007269361,0.005063009,0.002511224,0.7406659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001922554,"about_ca_system_score_gemma":0.003085858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02954919,"about_ca_topic_score_gemma":0.03808819,"domain_scores_codex":[0.9986404,0.0001415966,0.0001064296,0.0001736106,0.0007046466,0.0002334039],"domain_scores_gemma":[0.9946555,0.00084725,0.0002251601,0.0007147129,0.002566111,0.0009912698],"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":[0.00001998522,0.000008241719,0.00004042943,0.00004675535,8.478596e-7,0.000007404376,0.00001142533,0.00002724673,0.00002775086,0.0009193671,0.9912505,0.007640091],"study_design_scores_gemma":[0.000009301864,0.000003635728,0.0001271108,0.00003674757,7.904902e-7,0.000006147207,0.00001787698,0.00004296153,0.00006431974,0.0005083319,0.9991735,0.00000928645],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"software","genre_scores_codex":[0.0003890623,0.0003151434,0.003412612,0.002150937,0.003304932,0.0003159743,0.1917881,0.04304969,0.7552736],"genre_scores_gemma":[0.002415651,0.0007304384,0.00395432,0.001829268,0.0005852294,0.0004769871,0.2038257,0.02229386,0.7638887],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.791041,"threshold_uncertainty_score":0.2980546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05186776902760957,"score_gpt":0.2715272154446668,"score_spread":0.2196594464170572,"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."}}