{"id":"W2538117061","doi":"10.5194/gmd-9-3685-2016","title":"The Detection and Attribution Model Intercomparison Project (DAMIP v1.0)contribution to CMIP6","year":2016,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":606,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Environment and Climate Change Canada","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Forcing (mathematics); Coupled model intercomparison project; Climatology; Environmental science; Climate change; Climate model; Attribution; Radiative forcing; Meteorology; Atmospheric sciences; Geography; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007237456,0.0002138081,0.0001360112,0.00001971261,0.0009986423,0.000096012,0.0002513227,0.0000807017,0.00002294519],"category_scores_gemma":[0.00003133465,0.0001312241,0.00003832732,0.0002332893,0.0002527514,0.0002527909,0.0005049848,0.00008640487,0.000239978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001047638,"about_ca_system_score_gemma":0.00003058601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005791809,"about_ca_topic_score_gemma":0.0004353753,"domain_scores_codex":[0.9979841,0.00003994866,0.0003464743,0.00062294,0.0004732123,0.0005333478],"domain_scores_gemma":[0.9994048,0.00002468877,0.0000944591,0.0003055491,0.00001490493,0.0001555332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001621754,0.0001577294,0.01098776,0.000007978299,0.0000252911,0.000001463997,0.001328459,0.2953459,0.05807239,0.0005902469,0.001460238,0.6318604],"study_design_scores_gemma":[0.0003252183,0.00003493523,0.02417325,0.00002086051,0.00001006142,0.000005224384,0.00005845317,0.9330619,0.002795715,0.0005746902,0.03863619,0.0003035263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4309529,0.00001285723,0.5681766,0.0001997543,0.0001590585,0.0003350354,0.000005191193,0.00003601913,0.0001225767],"genre_scores_gemma":[0.9661596,0.00004153484,0.02661151,0.00008758052,0.00001052414,0.000148451,0.000007790362,0.00001530047,0.006917729],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.637716,"threshold_uncertainty_score":0.768085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01427867853728432,"score_gpt":0.2189806772712126,"score_spread":0.2047019987339282,"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."}}