{"id":"W6927144189","doi":"10.25921/rtf0-q898","title":"GHRSST NOAA/STAR GOES-16 ABI L3C America Region SST v2.70 dataset (GDS version 2)","year":2019,"lang":"en","type":"dataset","venue":"National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Information (NCEI)","topic":"Diatoms and Algae Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pixel; Product (mathematics); Grid; Atmospheric correction; Systematic error","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006595515,0.00103082,0.0007716601,0.00186594,0.0005704508,0.00108228,0.001636173,0.0009108147,0.02104446],"category_scores_gemma":[0.001342232,0.0004314758,0.0008593673,0.003269838,0.0003293913,0.0008405261,0.0009304256,0.0009868841,0.0235806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009136613,"about_ca_system_score_gemma":0.002067456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1079871,"about_ca_topic_score_gemma":0.1352205,"domain_scores_codex":[0.9994707,0.00006236069,0.00004732131,0.0001360374,0.0001960268,0.00008772671],"domain_scores_gemma":[0.9992706,0.0000430195,0.00006206369,0.0001619843,0.0003974908,0.00006477125],"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":[0.0001613414,0.00006378436,0.009268952,0.0005514756,0.0001393757,0.0001113343,0.0001251924,0.003384949,0.002836423,0.001138616,0.9723785,0.00984014],"study_design_scores_gemma":[0.0002775685,0.00002799028,0.03934773,0.0001864228,0.00006581201,0.00007699577,0.0002778611,0.004905476,0.001971835,0.001389911,0.9513797,0.00009272975],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00264743,0.00005886937,0.0004562883,0.00008444808,0.00006703093,0.00002267639,0.9933361,0.0010386,0.002288563],"genre_scores_gemma":[0.003833542,0.00003280112,0.001480547,0.00005124618,0.00001686943,0.00006022961,0.9933358,0.0002352855,0.00095373],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1079871,"threshold_uncertainty_score":0.214717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01695821865770723,"score_gpt":0.2729758519338965,"score_spread":0.2560176332761892,"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."}}