{"id":"W2808125284","doi":"10.3390/rs10060926","title":"Comparison of SNAP-Derived Sentinel-2A L2A Product to ESA Product over Europe","year":2018,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"Natural Resources Canada; Canadian Space Agency; European Space Agency","keywords":"Environmental science; AERONET; Radiance; Remote sensing; Atmospheric correction; Aerosol; Sky; Satellite; Meteorology; Geology; Geography; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002128578,0.0001887077,0.0002837451,0.00000316539,0.0001544721,0.00002737762,0.0001600795,0.00003369466,0.0003430951],"category_scores_gemma":[0.0001345538,0.0001691087,0.00005313107,0.0005090362,0.0002637146,0.00008528947,0.0002863311,0.0001182038,0.000533718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006188141,"about_ca_system_score_gemma":0.00001509748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003880968,"about_ca_topic_score_gemma":0.0000598445,"domain_scores_codex":[0.9983249,0.00006974273,0.0003255616,0.0005402671,0.0003669527,0.0003725431],"domain_scores_gemma":[0.9991159,0.00001571106,0.0001573021,0.0005422211,0.00004665543,0.0001222378],"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":[0.00003669381,0.00004666885,0.01405147,0.00001405518,0.00001409528,0.000007081396,0.001362033,0.0005288701,0.8704688,0.000002887226,0.006618269,0.1068491],"study_design_scores_gemma":[0.0004760453,0.0002617461,0.1927855,0.0001456035,0.0000623646,0.00004457045,0.0002529547,0.0747747,0.6619474,0.00006536038,0.06840644,0.0007772943],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819891,0.00003642305,0.003657447,0.0005434719,0.0002943433,0.0002626363,7.712915e-7,0.00005950844,0.01315628],"genre_scores_gemma":[0.9703488,0.000003918638,0.02756395,0.0002992751,0.0003686461,1.576044e-8,0.000001899661,0.00003316113,0.001380333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2085214,"threshold_uncertainty_score":0.6896052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0205573911567775,"score_gpt":0.2844733943768892,"score_spread":0.2639160032201117,"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."}}