{"id":"W2108502841","doi":"10.1002/joc.1027","title":"On the role of statistics in climate research","year":2004,"lang":"en","type":"article","venue":"International Journal of Climatology","topic":"Climate variability and models","field":"Environmental Science","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate science; Construct (python library); Observational study; Climatology; Climate change; Statistical analysis; Term (time); Data science; Econometrics; Computer science; Statistics; Mathematics; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001518521,0.00005006889,0.0001321593,0.0001139795,0.00002965754,0.00001057475,0.0004794009,0.00004601815,0.000746226],"category_scores_gemma":[0.0005318507,0.00003441067,0.00003993522,0.0001012683,0.0002812855,0.00008106599,0.0001551263,0.0002944388,0.00008537059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001704781,"about_ca_system_score_gemma":0.00003319588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001334601,"about_ca_topic_score_gemma":0.0001919441,"domain_scores_codex":[0.9986192,0.0001426969,0.0004373948,0.00008412116,0.0005425781,0.0001740304],"domain_scores_gemma":[0.99878,0.0007989957,0.0001919335,0.0001035723,0.00009360407,0.00003189379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004116608,0.0005690089,0.1124327,0.000005211042,0.00002821503,0.0001067263,0.00106857,0.02199268,0.004938361,0.8564879,0.000268374,0.001690557],"study_design_scores_gemma":[0.00100347,0.0003079936,0.02359314,0.00008010348,0.000005510864,0.0002400831,0.0005319887,0.001296414,0.003705293,0.9668734,0.002290256,0.00007234345],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882637,0.00001743477,0.0003309854,0.003124678,0.000194305,0.00005558709,0.00002522686,0.000001464052,0.007986563],"genre_scores_gemma":[0.9985448,0.0001464331,0.001116826,0.000162504,0.00001834923,0.000001827849,0.000001360862,0.000004194603,0.000003750376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1103855,"threshold_uncertainty_score":0.8170652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03459931691665084,"score_gpt":0.3509217346167952,"score_spread":0.3163224177001443,"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."}}