{"id":"W4233801868","doi":"10.4095/301198","title":"Climate Warming - Global Annual 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":"Global warming; Environmental science; Climatology; Climate change; Geography; Ecology; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005629087,0.0006814193,0.0005733347,0.00003642553,0.0003077657,0.00013393,0.0005489567,0.001094391,0.04544153],"category_scores_gemma":[0.00006290712,0.0005503589,0.000297549,0.0002434345,0.0003345169,0.000415561,0.001196894,0.001046831,0.005971279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001595806,"about_ca_system_score_gemma":0.00004467381,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006966705,"about_ca_topic_score_gemma":0.006045144,"domain_scores_codex":[0.9960217,0.00003489224,0.0004962364,0.0009331399,0.001435724,0.001078249],"domain_scores_gemma":[0.9984946,0.00002529746,0.0002523489,0.000773333,0.00001393328,0.0004405355],"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":[0.00003768014,0.0003238891,0.08627329,0.0001355525,0.00006229965,0.0003707525,0.000290259,0.000040184,0.01042451,0.000004588293,0.8681736,0.03386338],"study_design_scores_gemma":[0.0003279717,0.0001247432,0.09640977,0.0001293108,0.0001304115,0.0007608043,0.0003906129,0.00001718703,0.0005033519,0.00005186826,0.8999632,0.00119077],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2974519,0.0002962736,0.000001325502,0.0003059439,0.00248726,0.0004926606,0.00248899,0.000212724,0.6962629],"genre_scores_gemma":[0.7488284,0.03671367,0.00420724,0.006086233,0.006599843,0.0002442429,0.01016126,0.0007912475,0.1863679],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.509895,"threshold_uncertainty_score":0.9996948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02327328868588867,"score_gpt":0.2936240136743586,"score_spread":0.27035072498847,"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."}}