{"id":"W6944768312","doi":"10.22033/esgf/cmip6.766","title":"MPI-M MPIESM1.2-LR model output prepared for CMIP6 VolMIP","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001513099,0.001237993,0.001647929,0.0005975125,0.0009842744,0.001430058,0.0007654578,0.001294445,0.00007443976],"category_scores_gemma":[0.000319202,0.001258428,0.0005739029,0.0002821195,0.00006234437,0.0008159755,0.0001861631,0.0005963896,0.01982138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006654956,"about_ca_system_score_gemma":0.0009794183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001882591,"about_ca_topic_score_gemma":0.001589922,"domain_scores_codex":[0.9933816,0.0004805137,0.00179712,0.00181347,0.001469818,0.001057547],"domain_scores_gemma":[0.9944282,0.0002362901,0.001697868,0.002429927,0.0009213545,0.0002863551],"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":[0.0003643345,0.00009990306,0.000005026561,0.003677568,0.0002557884,0.000006704976,0.0001200265,0.02452996,0.0001038948,0.00008212942,0.97069,0.00006471392],"study_design_scores_gemma":[0.001578991,0.0002161093,0.00001118073,0.00086878,0.0003274603,0.00004270136,0.0001074838,0.262738,0.0001471698,0.00001030556,0.732913,0.001038875],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001359248,0.0005786024,0.005817401,0.00005090227,0.006145378,0.007365967,0.9787822,0.0006293331,0.0004943176],"genre_scores_gemma":[0.00394835,0.00001327176,0.000919749,0.0001251958,0.003725877,0.001539883,0.9832052,0.000366637,0.006155855],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.238208,"threshold_uncertainty_score":0.9996065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05038353882618439,"score_gpt":0.2864050017226177,"score_spread":0.2360214628964333,"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."}}