{"id":"W2994684027","doi":"","title":"Statistical adjustment of simulated inter-annual variability in an investigation of short-term temperature trend distributions over Canada","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Term (time); Trend analysis; Environmental science; Statistical analysis; Climatology; Econometrics; 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":[0.0006811844,0.0001834903,0.0002962764,0.0000311362,0.00003037924,0.000019259,0.000222509,0.0001385987,0.0002910557],"category_scores_gemma":[0.0001810153,0.0001692213,0.00002919794,0.0001938027,0.0002043826,0.0003743379,0.0001150055,0.0002022755,0.000002039978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004795281,"about_ca_system_score_gemma":0.0004491464,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1766896,"about_ca_topic_score_gemma":0.4822626,"domain_scores_codex":[0.9980265,0.0002395099,0.0006482464,0.0003855049,0.0004166622,0.0002835572],"domain_scores_gemma":[0.998994,0.0001443215,0.0001376489,0.0003424562,0.00007798224,0.0003035849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000153184,0.0008408068,0.6031406,0.00005928671,0.00002814795,0.00001839128,0.002134822,0.1223493,0.2658104,0.002507857,0.001129191,0.001828091],"study_design_scores_gemma":[0.0003718122,0.0001576338,0.9696114,0.00002620762,0.0000208063,0.000001551586,0.0001503692,0.01476811,0.01307097,0.001600823,0.00002700264,0.0001932846],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997897,0.000002917947,0.0002126821,0.0001102355,0.0001369262,0.0002316486,0.001104977,0.00001183694,0.0002917399],"genre_scores_gemma":[0.9986262,0.000001804709,0.000621195,0.00003615046,0.00002285195,0.000007864192,0.0006551221,0.000007109696,0.00002170343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3664708,"threshold_uncertainty_score":0.8287929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03293709940183336,"score_gpt":0.279480524899731,"score_spread":0.2465434254978977,"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."}}