{"id":"W4232164091","doi":"10.4095/301188","title":"Climate Warming - National Summer Precipitation Scenario: 2050","year":2010,"lang":"en","type":"report","venue":"","topic":"Climate Change and Environmental Impact","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Precipitation; Climatology; Environmental science; Climate simulation; Climate change; Geography; Meteorology; Climate model; Oceanography; 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":[0.0003463185,0.001001029,0.0005648895,0.0006081545,0.0006755524,0.0006745086,0.001037481,0.0006790846,0.00665096],"category_scores_gemma":[0.0004598638,0.0003620549,0.0007746152,0.00130537,0.0002349068,0.0005449527,0.0003610658,0.0007047931,0.002160688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00521473,"about_ca_system_score_gemma":0.004504981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4839516,"about_ca_topic_score_gemma":0.503857,"domain_scores_codex":[0.9998305,0.00004361383,0.000005766023,0.00002120349,0.00004600708,0.00005296029],"domain_scores_gemma":[0.9998543,0.000008274009,0.00001041998,0.00000790754,0.00008539638,0.00003373808],"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":[0.002040962,0.0003545363,0.04673621,0.0007523014,0.0007398986,0.0007643168,0.0001046161,0.5981956,0.001656748,0.007373278,0.3223586,0.01892288],"study_design_scores_gemma":[0.002556319,0.0007258905,0.2396153,0.0003116409,0.0007596868,0.0008189077,0.0009093574,0.4411317,0.005925877,0.008189007,0.298739,0.0003174113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3121801,0.001635741,0.003290303,0.002419982,0.0009105522,0.0003135265,0.6027019,0.001193589,0.07535429],"genre_scores_gemma":[0.6775033,0.001446446,0.007323335,0.0007867764,0.00007296279,0.0005571684,0.2968014,0.0001592054,0.01534939],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4839516,"threshold_uncertainty_score":0.9622694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08703534211681656,"score_gpt":0.3367384944817846,"score_spread":0.249703152364968,"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."}}