{"id":"W4306316194","doi":"10.5281/zenodo.7212138","title":"Impact metrics and indicators for coronavirus related publications","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Coronavirus; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Computer science; Geography; Virology; Medicine; Outbreak","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.00423835,0.001297208,0.0009585817,0.06074194,0.0006195522,0.003702495,0.0008226666,0.0008665551,0.01441189],"category_scores_gemma":[0.03659265,0.0002603043,0.0008805005,0.056611,0.000761505,0.003117312,0.002064061,0.001178171,0.007188668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001557429,"about_ca_system_score_gemma":0.001387283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001966472,"about_ca_topic_score_gemma":0.003531017,"domain_scores_codex":[0.9907815,0.001199786,0.001654232,0.001411279,0.004291304,0.0006618999],"domain_scores_gemma":[0.9547296,0.0186406,0.01339392,0.002623998,0.008434075,0.002177823],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001086809,0.0004812498,0.3885347,0.01444835,0.001152302,0.0008388856,0.002117974,0.01043438,0.009679326,0.02873818,0.3192993,0.2231885],"study_design_scores_gemma":[0.0001211238,0.0004020091,0.5314856,0.001112824,0.0003525303,0.001818759,0.001509352,0.008450238,0.006923176,0.01755333,0.4300475,0.0002235095],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.113046,0.008447112,0.005748738,0.0009460988,0.0004415091,0.0003050063,0.8440035,0.002615498,0.02444658],"genre_scores_gemma":[0.2783068,0.005436984,0.02185292,0.0001738872,0.0007537204,0.001064773,0.6841971,0.000812382,0.007401353],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9957616,"threshold_uncertainty_score":0.04821259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07645489906082559,"score_gpt":0.2857713949165803,"score_spread":0.2093164958557547,"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."}}