{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008137881,0.0001493563,0.0003445353,0.0002107758,0.0002064032,0.0006115083,0.002331047,0.00002838294,0.0002564785],"category_scores_gemma":[0.01984443,0.0001097497,0.0001800886,0.002132277,0.0001092897,0.0004250492,0.001585779,0.0005351704,0.05297312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005105408,"about_ca_system_score_gemma":0.00005086308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002789015,"about_ca_topic_score_gemma":0.000008583411,"domain_scores_codex":[0.9897389,0.0009944494,0.0004487732,0.0009059977,0.00712102,0.0007908471],"domain_scores_gemma":[0.9966982,0.0008985084,0.00005763173,0.001053985,0.000551922,0.0007397379],"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":[0.00006222361,0.0000377281,0.00003986318,0.00001370587,0.00001321576,0.0000347537,0.0005236295,0.00001982728,0.002939863,0.003818916,0.9560893,0.03640701],"study_design_scores_gemma":[0.0001640784,0.000132308,0.00272893,0.00001678028,0.000004284317,2.111373e-7,0.001142539,0.00009618662,0.0002372828,0.002475136,0.9928501,0.0001522019],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04694188,0.0000404799,0.004192721,0.9434158,0.0003466611,0.0006542766,0.00008443106,0.00005487502,0.004268877],"genre_scores_gemma":[0.7375455,0.00005477625,0.001950617,0.227039,0.002521624,0.0001189626,0.00006323376,0.00004354433,0.03066268],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.7163768,"threshold_uncertainty_score":0.9884118,"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."}}