{"id":"W6930347940","doi":"10.5281/zenodo.1194910","title":"An evaluation of the ocean and sea ice climate of E3SM using MPAS and interannual CORE-II forcing","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Heavy Metal Exposure and Toxicity","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forcing (mathematics); Sea ice; Zonal and meridional; Sea surface temperature; Climate model; Latitude; Sea ice thickness; Sea ice concentration; Satellite","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":[0.002458254,0.0008848917,0.0004800892,0.0004580085,0.0004312447,0.0005945689,0.0009941695,0.001157633,0.001690327],"category_scores_gemma":[0.005508901,0.000427233,0.0007832525,0.0009914322,0.0004608655,0.0009535027,0.0006591487,0.0006363704,0.000266198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001117918,"about_ca_system_score_gemma":0.0008100249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04819314,"about_ca_topic_score_gemma":0.03517739,"domain_scores_codex":[0.9994953,0.0002594828,0.00002773201,0.00007572697,0.0000750085,0.00006666077],"domain_scores_gemma":[0.9974452,0.00151555,0.0001738953,0.0002473963,0.0004140932,0.0002038443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001198818,0.0002889433,0.07586115,0.0001291048,0.0001733019,0.0001772675,0.00007114888,0.906782,0.002748636,0.001346833,0.001734255,0.009488625],"study_design_scores_gemma":[0.000193702,0.000332067,0.02789075,0.00001640959,0.00003345433,0.00002406311,0.00006262896,0.969384,0.001103032,0.000414211,0.0005251764,0.00002062363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905867,0.0001219291,0.001672873,0.0002456903,0.00002420971,0.00003541043,0.001918457,0.000242592,0.005152183],"genre_scores_gemma":[0.9957243,0.00004758584,0.00264244,0.00005864316,0.00001051985,0.0000237295,0.001166729,0.00005696474,0.0002689709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04819314,"threshold_uncertainty_score":0.0958252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04651027081806134,"score_gpt":0.2784419347421729,"score_spread":0.2319316639241115,"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."}}