{"id":"W3198843629","doi":"10.1029/2021ea001835","title":"Using CloudSat‐Derived Snow Accumulation Estimates to Constrain Gridded Snow Water Equivalent Products","year":2021,"lang":"en","type":"article","venue":"Earth and Space Science","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Canadian Space Agency","keywords":"Snow; Environmental science; Arctic; Meteorology; Latitude; Climatology; Geography; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003737717,0.0001280624,0.0001476421,0.00003907633,0.0007462091,0.000240799,0.0001252381,0.00002590658,0.0005793204],"category_scores_gemma":[0.0004580834,0.00009416215,0.00002274059,0.0006467696,0.000332951,0.0003335077,0.00006182692,0.00007129126,0.00005953834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004924412,"about_ca_system_score_gemma":0.0001642025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003887799,"about_ca_topic_score_gemma":0.0008636939,"domain_scores_codex":[0.9985764,0.00002117105,0.0001470222,0.0004609652,0.0003258988,0.0004685519],"domain_scores_gemma":[0.9992948,0.00007974026,0.00003400524,0.0001942553,0.0001893181,0.0002079196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005203805,0.00005155331,0.6370831,0.00005937299,0.00003056128,0.00006457017,0.006316084,0.04849107,0.2465392,0.0005702982,0.0005010985,0.06024104],"study_design_scores_gemma":[0.0002182827,0.00007435232,0.8789312,0.00004549742,0.00001461278,0.00003108827,0.001152421,0.03684477,0.07797685,0.000196361,0.004253172,0.0002613933],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941172,0.000425648,0.001292164,0.003048335,0.0004988177,0.0001838224,0.00001714239,0.00003335707,0.0003834839],"genre_scores_gemma":[0.9710355,0.00006332996,0.02816821,0.0003612021,0.0001056702,7.776829e-7,0.00002182198,0.000002501255,0.0002409923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2418481,"threshold_uncertainty_score":0.6343151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08028810801349028,"score_gpt":0.2901748620459933,"score_spread":0.209886754032503,"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."}}