{"id":"W6927302615","doi":"10.26050/wdcc/ar6.c6spccces370","title":"IPCC DDC: CCCma CanESM5 model output prepared for CMIP6 ScenarioMIP ssp370","year":2019,"lang":"en","type":"dataset","venue":"World Data Center for Climate","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coupled model intercomparison project; Climate model; Earth system science; Climate change; Downscaling; Climate system; Grid","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"],"consensus_categories":[],"category_scores_codex":[0.0008125614,0.0008129624,0.001520858,0.0004540908,0.000233141,0.0001735783,0.001655223,0.0003377965,0.0001874807],"category_scores_gemma":[0.0004272869,0.0006340534,0.0004357784,0.0002428323,0.0001381414,0.0002939707,0.0013061,0.0005271998,0.0002601088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002062123,"about_ca_system_score_gemma":0.0002813796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002433134,"about_ca_topic_score_gemma":0.002381791,"domain_scores_codex":[0.9953686,0.00004282943,0.0009725838,0.001962357,0.0003963402,0.001257274],"domain_scores_gemma":[0.9940709,0.0001981545,0.0006494205,0.004516312,0.0002835263,0.0002816652],"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":[0.00291341,0.0004011219,0.00002784166,0.005514513,0.0003843013,0.00001091167,0.00001343338,0.00000824997,0.0003134634,0.000008693261,0.9891928,0.001211247],"study_design_scores_gemma":[0.003112799,0.0002065622,0.00001016697,0.001049203,0.00132827,0.00003473849,0.000009198602,0.003958215,0.0003420206,0.00001205188,0.9892355,0.0007012407],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001487866,0.0004375717,0.00004529649,0.002859531,0.001893952,0.004696417,0.9897727,0.00007943333,0.00006626178],"genre_scores_gemma":[0.0002537912,0.0008885611,0.003484521,0.002743903,0.001297938,0.00004599227,0.9837232,0.0001376704,0.007424415],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.007358153,"threshold_uncertainty_score":0.9996111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09849173689517829,"score_gpt":0.3435048305053447,"score_spread":0.2450130936101664,"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."}}