{"id":"W6963750371","doi":"10.22033/esgf/cmip6.6721","title":"MPI-M MPI-ESM1.2-LR model output prepared for CMIP6 VolMIP volc-pinatubo-full","year":2019,"lang":"en","type":"dataset","venue":"Earth System Grid Federation","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Coupled model intercomparison project; Climate model; Earth system science; Grid; Resource (disambiguation); Climate change; Phase (matter)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007622765,0.002306249,0.001864286,0.001811684,0.0009792864,0.002228384,0.003975155,0.001944376,0.1593557],"category_scores_gemma":[0.002676956,0.001257115,0.00247174,0.005048714,0.0003861611,0.002772623,0.001571536,0.003243702,0.1260548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001566728,"about_ca_system_score_gemma":0.002442741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0490702,"about_ca_topic_score_gemma":0.02265511,"domain_scores_codex":[0.9993207,0.0001303733,0.00004246573,0.0002252755,0.0001729042,0.0001083156],"domain_scores_gemma":[0.9990005,0.0001322678,0.00004993604,0.0002490495,0.0004822433,0.00008611396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001099252,0.00002567015,0.0009913059,0.0004048838,0.0001390676,0.00005313316,0.00004107583,0.02241807,0.0007149497,0.003531153,0.9647011,0.006869618],"study_design_scores_gemma":[0.0007671283,0.00002953902,0.0071029,0.0002522022,0.0001654845,0.0000722805,0.0001286822,0.07000098,0.003019746,0.01581782,0.9024515,0.0001916479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001914314,0.000171276,0.007204769,0.0006766072,0.0005033035,0.00008428085,0.9561555,0.01514777,0.01814208],"genre_scores_gemma":[0.01377368,0.0002406879,0.01165508,0.0003224414,0.0001641919,0.0005498,0.9524528,0.01222636,0.008614948],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1593557,"threshold_uncertainty_score":0.533098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04154812744084037,"score_gpt":0.282532187297567,"score_spread":0.2409840598567266,"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."}}