{"id":"W2742225443","doi":"","title":"Stochastic modeling of temperature extremes over continental US and Canada","year":2017,"lang":"en","type":"article","venue":"Japan Geoscience Union","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geology; Climatology; Geography; Oceanography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004533246,0.0004283138,0.0003686325,0.0006255437,0.001230375,0.001192418,0.001477366,0.000659631,0.0009649037],"category_scores_gemma":[0.002179497,0.0003540289,0.0005672332,0.001291084,0.0008471052,0.0005937011,0.0004808806,0.0007685979,0.0000656366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01440207,"about_ca_system_score_gemma":0.01419843,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9751771,"about_ca_topic_score_gemma":0.9609172,"domain_scores_codex":[0.9997666,0.00003340722,0.00001014099,0.00005491811,0.00004589748,0.00008902679],"domain_scores_gemma":[0.9994677,0.0001410138,0.00006213154,0.00002406613,0.0002131002,0.0000920239],"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":[0.00004125161,0.00001388139,0.01122189,0.000006068,0.00003097477,0.0000298906,0.00003535211,0.9834344,0.0002092727,0.00298726,0.000767855,0.001221956],"study_design_scores_gemma":[0.00001224841,0.000004425543,0.00690346,0.000002628743,0.0000142598,0.000005490193,0.00005523002,0.9913345,0.0001224089,0.0009597558,0.0005716662,0.00001390688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887782,0.0003198515,0.005040258,0.0008085497,0.00004199682,0.00001126375,0.001659135,0.00009987403,0.00324102],"genre_scores_gemma":[0.9978324,0.0001375866,0.000472149,0.00002536543,0.000007747338,0.000005681126,0.0005474006,0.00001275214,0.0009589284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02482289,"threshold_uncertainty_score":0.1044949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01231937812046254,"score_gpt":0.2196734778735463,"score_spread":0.2073540997530838,"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."}}