{"id":"W3028180336","doi":"","title":"The CONCEPTS Global Ice-Ocean Prediction System: Establishing an Environmental Prediction Capability in Canada","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sea ice; Climatology; Environmental science; Earth system science; Environmental resource management; Computer science; Oceanography; Geology","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":[],"consensus_categories":[],"category_scores_codex":[0.0005748851,0.0001782847,0.0001731054,0.00000962813,0.0003691333,0.0002094529,0.000282876,0.00006759804,0.00005085988],"category_scores_gemma":[0.00008352529,0.0001359376,0.00002766898,0.0001647392,0.00007678964,0.0006937243,0.00002336134,0.0001759286,0.00001357962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000437457,"about_ca_system_score_gemma":0.001007419,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9110454,"about_ca_topic_score_gemma":0.9810537,"domain_scores_codex":[0.9980923,0.0001357245,0.0004531306,0.0003573468,0.0005401036,0.0004213853],"domain_scores_gemma":[0.9991433,0.0001002782,0.0001523048,0.0002596636,0.00006233319,0.0002821082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002418116,0.00001590684,0.9343842,0.000005298841,0.00001066093,0.0000101346,0.0002428117,0.05628799,0.00002018029,0.00006185583,0.00124885,0.007687906],"study_design_scores_gemma":[0.0002671267,0.00007939749,0.9381265,0.00001268847,0.00001055615,0.000009922076,0.008725369,0.05015567,0.00001662443,0.00007256057,0.002399394,0.0001241723],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947471,0.0002776977,0.00003042169,0.0002686023,0.001436765,0.0002557948,0.0005787804,0.00004441526,0.002360407],"genre_scores_gemma":[0.9990711,0.00004104973,0.0001153532,0.00007829707,0.0002828871,0.00000387632,0.0003500399,0.000003197179,0.00005418776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07000823,"threshold_uncertainty_score":0.5543374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02689528132529138,"score_gpt":0.221277008388156,"score_spread":0.1943817270628646,"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."}}