{"id":"W3137852956","doi":"10.5194/gmd-14-1445-2021","title":"The Regional Ice Ocean Prediction System v2: a pan-Canadian ocean analysis system using an online tidal harmonic analysis","year":2021,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Environment and Climate Change Canada","funders":"","keywords":"Data assimilation; Climatology; Oceanography; Environmental science; Sea ice; Arctic; Geology; Sea surface temperature; Archipelago; Meteorology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006575897,0.001455018,0.0004714774,0.001497523,0.001062324,0.00128317,0.001605185,0.000370768,0.004361498],"category_scores_gemma":[0.001406569,0.0004484402,0.0005440543,0.001783985,0.0002586677,0.0006608841,0.001186935,0.0007419219,0.001495806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00342518,"about_ca_system_score_gemma":0.01229558,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8718611,"about_ca_topic_score_gemma":0.8222999,"domain_scores_codex":[0.9996157,0.00002701541,0.00001774047,0.00009478503,0.0001877761,0.00005690794],"domain_scores_gemma":[0.9992408,0.0000370657,0.00004137621,0.00006008938,0.0005401387,0.00008065116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00107522,0.0002879435,0.06339022,0.0004283126,0.0007327585,0.0004188926,0.0005980096,0.3271748,0.03238444,0.006871096,0.174508,0.3921303],"study_design_scores_gemma":[0.0001107408,0.00003435057,0.01970573,0.00003256536,0.00008018971,0.00002696822,0.00008709259,0.9371929,0.005641282,0.0007856018,0.03619804,0.0001045254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1798827,0.001082753,0.5072228,0.0007779225,0.0005302658,0.00151529,0.1283918,0.1324286,0.04816797],"genre_scores_gemma":[0.5353132,0.000611422,0.3356154,0.0002242154,0.0000851785,0.0005463075,0.111939,0.002621536,0.01304377],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1281389,"threshold_uncertainty_score":0.257787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03774597951395153,"score_gpt":0.2130545857819095,"score_spread":0.1753086062679579,"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."}}