{"id":"W3158311660","doi":"10.1029/2021gl093126","title":"Thank You to Our 2020 Peer Reviewers","year":2021,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Scientific Research and Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Peer review; Data science; Computer science; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"editorial","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"editorial","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01847408,0.001800799,0.002681951,0.008293618,0.005279125,0.01733703,0.00291775,0.005428712,0.2557445],"category_scores_gemma":[0.1805969,0.001107766,0.001483154,0.003631006,0.002181131,0.006103379,0.00512282,0.005720339,0.3417616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002422641,"about_ca_system_score_gemma":0.01156122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00467042,"about_ca_topic_score_gemma":0.0114607,"domain_scores_codex":[0.9697869,0.005804678,0.002450303,0.002599435,0.01799537,0.001363332],"domain_scores_gemma":[0.5045705,0.01199639,0.007684607,0.01151445,0.4463368,0.01789729],"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":[0.00002448053,0.00001114737,0.0002162709,0.0001274348,0.000007886335,0.00008567882,0.0000661079,0.000018289,0.0001927757,0.0002592957,0.9791365,0.01985419],"study_design_scores_gemma":[0.00001804655,0.00001321657,0.0005620152,0.0001592755,0.00001814341,0.000186487,0.000357066,0.0001117541,0.0002109178,0.0007589915,0.9975711,0.00003296838],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0024954,0.0114699,0.00717754,0.2008995,0.7010375,0.001515745,0.004161002,0.003963299,0.0672802],"genre_scores_gemma":[0.0110996,0.009275269,0.01397047,0.04507927,0.1509819,0.001452009,0.004472716,0.004645126,0.7590237],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.9815259,"threshold_uncertainty_score":0.8555504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06216291538224569,"score_gpt":0.3761836360795861,"score_spread":0.3140207206973404,"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."}}