{"id":"W3081840895","doi":"10.1029/2020gl088048","title":"Thank You to Our 2019 Peer Reviewers","year":2020,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Presentation (obstetrics); Reading (process); Library science; Rigour; Quality (philosophy); Peer review; Computer science; Political science; History; Engineering ethics; Data science; Public relations; Law; Medicine; Epistemology; Engineering","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"],"consensus_categories":[],"category_scores_codex":[0.03879922,0.002394448,0.003122887,0.008602289,0.0074391,0.02981274,0.004277573,0.009754386,0.1895693],"category_scores_gemma":[0.260407,0.001396227,0.002252144,0.004745645,0.003038475,0.0084298,0.007118435,0.0104205,0.2973887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004199727,"about_ca_system_score_gemma":0.01905111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003443207,"about_ca_topic_score_gemma":0.006510022,"domain_scores_codex":[0.9488194,0.01222737,0.006914561,0.005848879,0.02377314,0.002416667],"domain_scores_gemma":[0.4865557,0.0180704,0.01387354,0.01604136,0.4338222,0.03163673],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000129081,0.000006209517,0.0001027182,0.00007207541,0.000004367533,0.00004720838,0.00004915575,0.00001040406,0.00004590121,0.0001694516,0.986446,0.0130336],"study_design_scores_gemma":[0.00001268768,0.000009986358,0.00018952,0.0001634806,0.000006944826,0.0001295209,0.0002481983,0.00005669508,0.0000698335,0.0005214054,0.9985642,0.00002756312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0006543297,0.007421312,0.00611642,0.2711468,0.6783782,0.001206659,0.00283289,0.003785288,0.02845817],"genre_scores_gemma":[0.01031992,0.01115184,0.02161461,0.1807861,0.333838,0.003446708,0.005515568,0.006543771,0.4267834],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.9612008,"threshold_uncertainty_score":0.6341726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3979178215892863,"score_gpt":0.5136762855153798,"score_spread":0.1157584639260935,"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."}}