{"id":"W4238905203","doi":"10.4095/301185","title":"Climate Warming - National Winter 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":"Climate simulation; Environmental science; Climatology; Warming up; Climate change; Global warming; Atmospheric sciences; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006571769,0.0004798061,0.0003790116,0.00007310733,0.0002339244,0.000128483,0.0003796434,0.0007207091,0.0985527],"category_scores_gemma":[0.0000808897,0.0003810613,0.0002426987,0.0001312275,0.0002349301,0.0003272234,0.0007350142,0.001046674,0.006860924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001166343,"about_ca_system_score_gemma":0.00004181639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001131075,"about_ca_topic_score_gemma":0.00188485,"domain_scores_codex":[0.996492,0.00002366737,0.0004124931,0.0006893334,0.001725457,0.0006570675],"domain_scores_gemma":[0.9990985,0.00004115737,0.0002004177,0.0003996407,0.00001954948,0.0002406686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001869895,0.0002051773,0.02054442,0.00008219049,0.00004719463,0.0000802796,0.0002105077,0.00003885595,0.05400446,0.000003403398,0.9183624,0.006402377],"study_design_scores_gemma":[0.0002427934,0.00005952645,0.03645911,0.0001284779,0.00005580328,0.0003670095,0.0000936512,0.00003789871,0.001747929,0.0000703011,0.9599224,0.0008150546],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1097169,0.0001031734,0.000001163849,0.0004280201,0.001718922,0.0003415043,0.0003763091,0.0001143179,0.8871997],"genre_scores_gemma":[0.6395234,0.01162074,0.002342233,0.006540351,0.004615651,0.0001912977,0.006844186,0.0005536648,0.3277684],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5594312,"threshold_uncertainty_score":0.9998641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04237459123424531,"score_gpt":0.3041291235454915,"score_spread":0.2617545323112462,"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."}}