{"id":"W4210780840","doi":"10.5194/tc-2021-322-ac2","title":"Reply on RC2","year":2022,"lang":"en","type":"peer-review","venue":"","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Environment and Climate Change Canada; Hydro-Québec; Ministère des Forêts, de la Faune et des Parcs","keywords":"Curse of dimensionality; Data assimilation; State variable; Particle filter; Classification of discontinuities; Forcing (mathematics); Computer science; Filter (signal processing); Domain (mathematical analysis); Mathematics; Artificial intelligence; Meteorology; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003645067,0.001140457,0.001211099,0.001122303,0.004289471,0.00523155,0.004100856,0.04029752,0.0910243],"category_scores_gemma":[0.02907825,0.000697123,0.001847895,0.000996687,0.002861696,0.004976963,0.002988836,0.03394223,0.07706051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004905482,"about_ca_system_score_gemma":0.004873724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01245861,"about_ca_topic_score_gemma":0.01258594,"domain_scores_codex":[0.996942,0.0005768302,0.000286616,0.0006319938,0.001029202,0.0005332839],"domain_scores_gemma":[0.9931757,0.00257274,0.0002837513,0.0005263367,0.002422021,0.001019385],"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":[0.00001096231,0.000004035785,0.00003685615,0.00001433055,0.00000216229,0.00006803527,0.00001559725,0.000006003024,0.00002519118,0.0005946132,0.9974261,0.001796152],"study_design_scores_gemma":[0.00001225138,0.00000721867,0.0001985917,0.00005647638,0.000003775802,0.0000814898,0.0000773272,0.00003395903,0.00008945987,0.0008258885,0.9985998,0.00001373286],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0002042482,0.001506687,0.0002006519,0.8706174,0.1083844,0.00007561177,0.0004446757,0.0002448076,0.01832146],"genre_scores_gemma":[0.001764228,0.0006788371,0.0001513414,0.9092889,0.03317168,0.0001259327,0.0001280147,0.0001368388,0.05455423],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0910243,"threshold_uncertainty_score":0.3045067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05470876542512811,"score_gpt":0.2690869716956473,"score_spread":0.2143782062705192,"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."}}