{"id":"W3112331357","doi":"","title":"Probabilistic Projections of Regional Climatic Changes Through an Ensemble Modeling Approach: A Canadian Case Study","year":2016,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Probabilistic logic; Statistical model; Econometrics; Climatology; Geography; Environmental science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001548496,0.000699095,0.0005400999,0.0009161172,0.001525131,0.001491515,0.001398969,0.0007736668,0.001545246],"category_scores_gemma":[0.00328229,0.0003430244,0.0007834209,0.003077394,0.0004391234,0.0008788837,0.0005042381,0.0007965432,0.000124984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01314917,"about_ca_system_score_gemma":0.01286299,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9706752,"about_ca_topic_score_gemma":0.9693131,"domain_scores_codex":[0.9995075,0.0001267417,0.00002432734,0.00006687745,0.0001703335,0.0001041625],"domain_scores_gemma":[0.99887,0.0003934049,0.00007461609,0.00008045755,0.0005184122,0.00006307993],"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":[0.0001004958,0.00006545214,0.01323337,0.00003834377,0.00009003628,0.0003471536,0.000120504,0.9622138,0.0003301236,0.00360831,0.002374013,0.01747843],"study_design_scores_gemma":[0.00003462085,0.00002014075,0.008454967,0.00001259708,0.00006463267,0.00005367801,0.0002230226,0.9872852,0.0002556891,0.001366835,0.002193453,0.00003507977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9482119,0.0007157549,0.02328515,0.001647127,0.00003931448,0.0001305848,0.005116604,0.0002936612,0.02055987],"genre_scores_gemma":[0.9805578,0.0005814531,0.01499726,0.0000360834,0.00000768943,0.00004684083,0.001424788,0.0000403186,0.002307642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02932483,"threshold_uncertainty_score":0.09540433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1041736405314492,"score_gpt":0.2868400767450743,"score_spread":0.1826664362136251,"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."}}