{"id":"W6927230316","doi":"10.25921/rnn8-jh57","title":"GHRSST NOAA/STAR Metop-A AVHRR FRAC ACSPO v2.80 0.02 L3U Dataset (GDS version 2)","year":2021,"lang":"en","type":"dataset","venue":"National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Information (NCEI)","topic":"Applied Advanced Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Advanced very-high-resolution radiometer; Pixel; Satellite; Sea surface temperature; Mode (computer interface); Image resolution; Radiometry; Radiometer","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":[0.0006418762,0.001503114,0.001009631,0.001583241,0.0005798347,0.001138838,0.002237334,0.001243014,0.03578125],"category_scores_gemma":[0.001589366,0.0005452842,0.001107055,0.003570751,0.0002865222,0.0008982603,0.0008299296,0.001229668,0.04611541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009056682,"about_ca_system_score_gemma":0.00189351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0782757,"about_ca_topic_score_gemma":0.08944686,"domain_scores_codex":[0.9993861,0.00006559197,0.00006343239,0.0001753114,0.0002004702,0.0001090875],"domain_scores_gemma":[0.9989202,0.00007719888,0.00007919037,0.0002932665,0.0005397372,0.00009033445],"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":[0.00009494072,0.0000347981,0.001962445,0.0002404009,0.00004265509,0.00004222848,0.00003123744,0.002220867,0.0008122651,0.0004138332,0.9897974,0.00430687],"study_design_scores_gemma":[0.0004347791,0.00004609406,0.02157447,0.0001652599,0.00004994401,0.00006785431,0.0002049949,0.008091559,0.00260946,0.001439305,0.9652315,0.00008462317],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007625236,0.00001762232,0.0002359834,0.00003496438,0.0000354788,0.00001841843,0.9972784,0.0006726709,0.0009440451],"genre_scores_gemma":[0.001056827,0.00001204429,0.0006374799,0.00002279157,0.000006181125,0.00004651295,0.997645,0.000114975,0.0004581963],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0782757,"threshold_uncertainty_score":0.1556402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007690767269076512,"score_gpt":0.2267079715993303,"score_spread":0.2190172043302537,"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."}}