{"id":"W6964022729","doi":"10.22033/esgf/cmip6.3532","title":"CCCma CanESM5 model output prepared for CMIP6 CMIP abrupt-4xCO2","year":2019,"lang":"en","type":"dataset","venue":"Earth System Grid Federation","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coupled model intercomparison project; Climate model; Climate change; Grid; Phase (matter); Earth system science","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":[0.001000863,0.001261041,0.001147387,0.001429553,0.0008187984,0.001698081,0.003271636,0.001822098,0.1273466],"category_scores_gemma":[0.003228604,0.0008993981,0.001914765,0.003852705,0.0002895647,0.002318181,0.001035324,0.002702629,0.05398767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002420515,"about_ca_system_score_gemma":0.003697679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1869553,"about_ca_topic_score_gemma":0.108492,"domain_scores_codex":[0.9994571,0.00008969383,0.00003739323,0.0001748316,0.0001520524,0.00008891871],"domain_scores_gemma":[0.9988052,0.0001263703,0.0000511057,0.0001821819,0.0007399239,0.00009532936],"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":[0.00008224323,0.00001849487,0.001131166,0.0002533383,0.00009551652,0.00002474968,0.00002181708,0.01391515,0.0003311385,0.002498342,0.9770373,0.00459084],"study_design_scores_gemma":[0.0005262643,0.00001957981,0.006935806,0.0001964519,0.0001005556,0.00003001068,0.00009246294,0.03191102,0.00143925,0.00585248,0.9527867,0.0001094055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001138489,0.0001195671,0.002065363,0.0005872957,0.0004538776,0.0000914144,0.9816534,0.003361396,0.01052927],"genre_scores_gemma":[0.01240842,0.000149241,0.006282549,0.0003663876,0.00009807345,0.0005090242,0.9685677,0.002675482,0.008943206],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1869553,"threshold_uncertainty_score":0.4260169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03862346605325943,"score_gpt":0.2252022449905375,"score_spread":0.1865787789372781,"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."}}