{"id":"W4396665080","doi":"10.1029/2024gl109626","title":"Thank You to Our 2023 Peer Reviewers","year":2024,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Office National de l’Eau et des Milieux Aquatiques; Curtin University of Technology","keywords":"Peer review; Environmental science; Geology; Psychology; 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":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01939806,0.0001500764,0.0002471291,0.0008424973,0.0003018467,0.002641605,0.002144645,0.00002478561,0.0002750612],"category_scores_gemma":[0.01295566,0.0001032676,0.0002062484,0.004999859,0.0001165502,0.0003312355,0.001634757,0.0005443749,0.06493177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001027324,"about_ca_system_score_gemma":0.00007808051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002686937,"about_ca_topic_score_gemma":0.00001260207,"domain_scores_codex":[0.9887873,0.0005650584,0.000428213,0.001430816,0.007890682,0.0008979674],"domain_scores_gemma":[0.9955599,0.001716117,0.00002567475,0.001725787,0.0005453285,0.0004272487],"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":[0.00000962886,0.00002119962,0.00002281839,0.00001386962,0.00001140692,0.00008844397,0.0001825696,0.00004887093,0.001333766,0.001911987,0.8506592,0.1456962],"study_design_scores_gemma":[0.00005272297,0.00004638128,0.002005787,0.00009202837,0.000004390972,0.000001266569,0.0005753306,0.002381591,0.00008702379,0.004892318,0.9897204,0.0001407633],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2407401,0.000435383,0.01222493,0.7165713,0.00874605,0.001069117,0.0001077062,0.0003090673,0.0197963],"genre_scores_gemma":[0.8239546,0.0000145865,0.001153656,0.00590106,0.002128856,0.000073,0.00002505918,0.00003040034,0.1667187],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7106702,"threshold_uncertainty_score":0.9983938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2948532722307753,"score_gpt":0.5085376973850151,"score_spread":0.2136844251542398,"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."}}