{"id":"W3138618268","doi":"10.1029/2021jg006261","title":"Letter of Appreciation to Our 2020 Reviewers in the Time of COVID‐19","year":2021,"lang":"en","type":"article","venue":"Journal of Geophysical Research Biogeosciences","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Psychology; Data science; Computer science; Medicine; Virology","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":[],"consensus_categories":[],"category_scores_codex":[0.01440632,0.001778912,0.001947278,0.003248065,0.003326191,0.01121816,0.002322696,0.008794492,0.02837663],"category_scores_gemma":[0.1144016,0.0008049234,0.001630908,0.001506002,0.002103099,0.00445121,0.002179527,0.011987,0.03065379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003036975,"about_ca_system_score_gemma":0.00660334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003515139,"about_ca_topic_score_gemma":0.006870002,"domain_scores_codex":[0.9878027,0.002418078,0.001745269,0.001665908,0.00558421,0.0007838717],"domain_scores_gemma":[0.8252366,0.02167865,0.007384335,0.003576333,0.1275102,0.0146139],"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":[0.0000173919,0.000002130135,0.00003992528,0.00005375845,0.000004532062,0.00008527162,0.00002134122,0.00000837788,0.00004476125,0.000136125,0.9973839,0.002202448],"study_design_scores_gemma":[0.00001181262,0.0000122483,0.0002427535,0.000195793,0.00001101588,0.0003581245,0.000125898,0.00006445001,0.0001381504,0.0004900504,0.9983224,0.00002718558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001079717,0.003243975,0.000428332,0.1807313,0.8133436,0.00003281976,0.0001662811,0.0001683923,0.00177727],"genre_scores_gemma":[0.00319872,0.004652211,0.0009367292,0.213915,0.742583,0.0001012871,0.0002386603,0.0005124834,0.03386192],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02837663,"threshold_uncertainty_score":0.09492934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04634652508861991,"score_gpt":0.4147037169633191,"score_spread":0.3683571918746992,"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."}}