{"id":"W4252757025","doi":"10.4095/301201","title":"Climate Warming - Global Winter Temperature Scenario: 2100","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":"Climatology; Environmental science; Climate simulation; Global warming; Climate change; Meteorology; Atmospheric sciences; Geography; 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":[0.0004194083,0.001363402,0.0006792151,0.000481094,0.0004687794,0.0006060991,0.0008674089,0.0007925349,0.007722146],"category_scores_gemma":[0.000514225,0.0003681328,0.0008383204,0.001167138,0.0002126289,0.000799501,0.0004313206,0.0007712517,0.003467173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00192475,"about_ca_system_score_gemma":0.002117788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07566524,"about_ca_topic_score_gemma":0.06639986,"domain_scores_codex":[0.999837,0.00005477248,0.000005022567,0.00002203729,0.00003697263,0.00004421433],"domain_scores_gemma":[0.9998983,0.000009572744,0.00000939677,0.000007395924,0.00005137604,0.0000239516],"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":[0.002711087,0.0004448939,0.03427768,0.001027522,0.0007125777,0.0008377949,0.0001238664,0.6295885,0.002948284,0.01153386,0.2903967,0.02539712],"study_design_scores_gemma":[0.004603517,0.001464494,0.1418882,0.0003595061,0.001025807,0.0009711224,0.0008143253,0.4584888,0.00909132,0.01307936,0.3678823,0.000331181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3462526,0.001717647,0.007960754,0.002727058,0.001567133,0.000627193,0.5354817,0.001442065,0.1022239],"genre_scores_gemma":[0.6810521,0.001696424,0.01165377,0.0008713159,0.0001093012,0.00131068,0.2873296,0.0002627509,0.01571411],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07566524,"threshold_uncertainty_score":0.1504496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02951618536952938,"score_gpt":0.2968894185339938,"score_spread":0.2673732331644644,"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."}}