{"id":"W3023206122","doi":"","title":"Development and testing of Canada-wide interpolated spatial models of daily minimum/maximum temperature and precipitation for 1961-2003","year":2008,"lang":"en","type":"article","venue":"13th Conference on Mountain Meteorology/17th Conference on Applied Climatology (11–15 August 2008)","topic":"Climate variability and models","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Precipitation; Environmental science; Climatology; Econometrics; Statistics; Mathematics; Meteorology; Geography; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0015013,0.0006240987,0.0002759158,0.0004422577,0.001247445,0.001025698,0.001773281,0.0004959317,0.001774825],"category_scores_gemma":[0.004011284,0.0004707737,0.0005605122,0.0007507434,0.0003470021,0.0005680117,0.0004381951,0.0006654194,0.0004450729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01226771,"about_ca_system_score_gemma":0.0191638,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9662788,"about_ca_topic_score_gemma":0.9632081,"domain_scores_codex":[0.9996363,0.00006714708,0.00002823914,0.0001012381,0.00009811422,0.00006904929],"domain_scores_gemma":[0.9978268,0.0003929462,0.0000961592,0.000156167,0.001384776,0.0001432128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003324079,0.0003442698,0.1019043,0.00007246714,0.000203534,0.0001234757,0.0002767014,0.8542823,0.001714205,0.002486202,0.00538972,0.03287046],"study_design_scores_gemma":[0.000116711,0.00004141899,0.03092865,0.00001918552,0.00006754823,0.00002158681,0.000185649,0.9628645,0.002223529,0.0002009432,0.003302629,0.00002759092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.970463,0.0002316516,0.01006192,0.0005415672,0.00006764424,0.0001061176,0.009657414,0.0009374227,0.007933202],"genre_scores_gemma":[0.971957,0.0001041132,0.01818068,0.00004789569,0.000006762364,0.00005331052,0.00758975,0.0001129696,0.001947573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03372121,"threshold_uncertainty_score":0.08900887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03382877464542869,"score_gpt":0.2391093457176026,"score_spread":0.2052805710721739,"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."}}