{"id":"W4254290662","doi":"10.4095/301187","title":"Climate Warming - National Summer Temperature 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":"Environmental science; Warming up; Climatology; Climate simulation; Climate change; Meteorology; Geography; Climate model; Oceanography; Geology; Biology","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":[0.0003498968,0.001065224,0.000607832,0.0005851087,0.0006621564,0.0007034621,0.001086519,0.0007128729,0.007607068],"category_scores_gemma":[0.0004995546,0.0003442814,0.0008857858,0.001246137,0.0002443928,0.0005730082,0.0003733743,0.0007511539,0.002423231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005176826,"about_ca_system_score_gemma":0.004725005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4729549,"about_ca_topic_score_gemma":0.4862839,"domain_scores_codex":[0.9998168,0.00004936945,0.000005578396,0.00002177029,0.00004892642,0.00005764166],"domain_scores_gemma":[0.999845,0.000009067528,0.00001009057,0.000008589459,0.00009483725,0.00003233008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002094571,0.000324567,0.04219666,0.0007424182,0.000684027,0.0006607809,0.0001083797,0.6757563,0.001872246,0.006763216,0.2511671,0.0176298],"study_design_scores_gemma":[0.002547073,0.0008539605,0.2013145,0.0003353406,0.0007803151,0.0008042558,0.00114684,0.5018526,0.007103427,0.007893999,0.275032,0.0003356884],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.3305849,0.001490952,0.004063484,0.002440091,0.001021654,0.0003620384,0.5674795,0.001295206,0.09126227],"genre_scores_gemma":[0.7297053,0.00122573,0.007678756,0.0006586401,0.00006422593,0.0006133604,0.2445642,0.0001697855,0.01532005],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4729549,"threshold_uncertainty_score":0.940404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06267956891332646,"score_gpt":0.3198211763169683,"score_spread":0.2571416074036418,"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."}}