{"id":"W4408957858","doi":"10.1029/2025ef006299","title":"Thank You to Our 2024 Reviewers","year":2025,"lang":"en","type":"article","venue":"Earth s Future","topic":"Innovation, Sustainability, Human-Machine Systems","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Wageningen University and Research; Goddard Space Flight Center","keywords":"Environmental 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":[],"consensus_categories":[],"category_scores_codex":[0.001689997,0.0001300972,0.0002098603,0.0001666736,0.0005801372,0.0001176649,0.0003280623,0.0001036176,0.0002617924],"category_scores_gemma":[0.0007579437,0.0001177379,0.00008812403,0.001486494,0.00004096367,0.0001481427,0.00006201579,0.000229653,0.0002155537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000116201,"about_ca_system_score_gemma":0.0004079618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001238196,"about_ca_topic_score_gemma":0.005333441,"domain_scores_codex":[0.9983656,0.0002992802,0.0002788559,0.0003030378,0.000400075,0.0003531612],"domain_scores_gemma":[0.9989906,0.00002832154,0.00006678799,0.0003712529,0.000458259,0.00008480712],"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":[0.00001822038,0.000044485,0.03836706,0.0003067818,0.00003933668,0.000008364662,0.02485248,0.00002724607,0.00001622506,0.3731246,0.5406645,0.02253074],"study_design_scores_gemma":[0.00008066501,0.00001377184,0.01858572,0.00006412803,0.000008624446,2.230864e-7,0.02610816,0.000001992531,0.00000972071,0.001773874,0.9532332,0.000119943],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1033368,0.00409339,0.0006651049,0.2183003,0.02833982,0.00360697,0.00002567702,0.0004797354,0.6411522],"genre_scores_gemma":[0.7700069,0.00005858275,0.0003910915,0.002919258,0.004955639,0.00005318881,0.000009075316,0.00001313411,0.2215931],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6666701,"threshold_uncertainty_score":0.4801211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01095558842421472,"score_gpt":0.346978727667422,"score_spread":0.3360231392432073,"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."}}