{"id":"W2461479905","doi":"10.5194/tc-10-1297-2016","title":"Development and calibration of an automatic spectral albedometer to estimate near-surface snow SSA time series","year":2016,"lang":"en","type":"article","venue":"˜The œcryosphere","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Institut Polaire Français Paul Emile Victor; Agence Nationale de la Recherche","keywords":"Albedo (alchemy); Snow; Solar zenith angle; Zenith; Remote sensing; Radiometer; Environmental science; Spurious relationship; Calibration; Dome (geology); Spectral line; Meteorology; Optics; Geology; Physics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001130438,0.0004957455,0.0003626616,0.001215974,0.0004905919,0.0004056003,0.0008283933,0.0005791625,0.0008330382],"category_scores_gemma":[0.001283567,0.0003047893,0.0003162011,0.0009952267,0.0002003689,0.0004463079,0.0003836332,0.0003620409,0.0007296202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004096083,"about_ca_system_score_gemma":0.0008591908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006277004,"about_ca_topic_score_gemma":0.006998975,"domain_scores_codex":[0.9994698,0.00009334242,0.00002864192,0.000138833,0.0002380501,0.00003142464],"domain_scores_gemma":[0.9988022,0.0001620344,0.0001069544,0.0002963682,0.0005866065,0.00004588767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000464336,0.0005351212,0.168814,0.0002554965,0.000269748,0.0001234565,0.0004081483,0.03792084,0.4063396,0.0008655857,0.003432023,0.3805717],"study_design_scores_gemma":[0.0002070565,0.0005564027,0.3109861,0.00005250257,0.0001484137,0.0003784808,0.0001876708,0.4707338,0.2005609,0.000698717,0.01537403,0.0001159592],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5714718,0.0003732496,0.4135615,0.00008821767,0.0001511318,0.0005381472,0.002422172,0.005886051,0.0055078],"genre_scores_gemma":[0.7105608,0.0001390666,0.2857745,0.00007554147,0.00003325592,0.000499188,0.001556639,0.0001640673,0.001196882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006277004,"threshold_uncertainty_score":0.01248091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01191607333543204,"score_gpt":0.2195444595433895,"score_spread":0.2076283862079575,"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."}}