{"id":"W6892172611","doi":"10.5063/aa/dpennington.57.3","title":"IPCC Climate Change Data: CGCM1 Model: 2080 Maximum Temperature","year":2005,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forcing (mathematics); Climate model; Albedo (alchemy); Climate change; Atmospheric model; Radiative forcing; Atmosphere (unit); Greenhouse gas; Flux (metallurgy)","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":[0.0014265,0.001929979,0.001403769,0.0021762,0.0008866932,0.001254081,0.003449158,0.001262192,0.03113678],"category_scores_gemma":[0.002272231,0.0005720619,0.0009594251,0.008943012,0.000409232,0.00117851,0.0008076336,0.002231379,0.01176425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008676031,"about_ca_system_score_gemma":0.01261968,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8228058,"about_ca_topic_score_gemma":0.6548385,"domain_scores_codex":[0.9992317,0.0000866975,0.00002475867,0.0001121135,0.0003747674,0.0001699346],"domain_scores_gemma":[0.9984726,0.00005214892,0.00007489676,0.00007738337,0.001230005,0.00009292436],"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":[0.0003014064,0.0001087328,0.005648347,0.00140183,0.0002107397,0.00007640016,0.00008101109,0.03577518,0.0004304172,0.004490357,0.9232967,0.02817882],"study_design_scores_gemma":[0.00161292,0.00008777399,0.07017965,0.0003864522,0.0003318168,0.00006901797,0.0001841991,0.03262146,0.001507248,0.00530394,0.8874974,0.0002181425],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003778242,0.001005764,0.002307982,0.001013256,0.0004037801,0.0003341376,0.9729971,0.00113335,0.01702637],"genre_scores_gemma":[0.05433846,0.001634296,0.008166271,0.0007833634,0.0001540101,0.001762597,0.9208917,0.0007628939,0.01150648],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8228058,"threshold_uncertainty_score":0.3564754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07113531048182696,"score_gpt":0.324430979315209,"score_spread":0.253295668833382,"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."}}