{"id":"W4414111597","doi":"10.1007/s00382-025-07825-2","title":"Consistent climate fingerprinting","year":2025,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Consistency (knowledge bases); Residual; Yield (engineering); Instrumental variable; Standard error; Distribution (mathematics); Term (time); Chen","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":[],"consensus_categories":[],"category_scores_codex":[0.005999201,0.0007330097,0.0009731347,0.002545444,0.0009392108,0.001965659,0.001959205,0.001697939,0.003585566],"category_scores_gemma":[0.0414147,0.0005539506,0.001421978,0.002568708,0.001113176,0.0028355,0.00267315,0.001735696,0.001130714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007514757,"about_ca_system_score_gemma":0.001483853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00238466,"about_ca_topic_score_gemma":0.002066609,"domain_scores_codex":[0.9958448,0.001541157,0.0001919951,0.001355351,0.0007526663,0.0003141045],"domain_scores_gemma":[0.9882104,0.003886751,0.001403453,0.004315961,0.001997812,0.0001855957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003690931,0.0002314182,0.1159583,0.0005130029,0.0007448667,0.0004989706,0.001086868,0.1169633,0.01972527,0.2047112,0.01437188,0.5248258],"study_design_scores_gemma":[0.0001944371,0.0003326044,0.08655106,0.000344341,0.0004465245,0.0008350989,0.0008066999,0.4607105,0.03743083,0.3649484,0.04694772,0.0004518082],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06867806,0.0004822385,0.9215163,0.0007113544,0.0002752031,0.00009361796,0.001211768,0.0010111,0.00602026],"genre_scores_gemma":[0.6917824,0.0003824194,0.3022478,0.0005351701,0.0002407803,0.0002376494,0.00173193,0.0004806331,0.002361173],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005999201,"threshold_uncertainty_score":0.03172719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008883903121143275,"score_gpt":0.2411708077618414,"score_spread":0.2322869046406982,"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."}}