{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003600727,0.0007534975,0.000524288,0.0001026129,0.0004572948,0.0002531559,0.0005322972,0.0006827919,0.0009308466],"category_scores_gemma":[0.000199938,0.0008565694,0.0001967362,0.0003329457,0.0002669329,0.002327394,0.0002212959,0.000661732,0.0002894231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001522725,"about_ca_system_score_gemma":0.000328312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000354566,"about_ca_topic_score_gemma":0.000007434711,"domain_scores_codex":[0.9958348,0.00003350936,0.00123732,0.000575381,0.001824214,0.000494834],"domain_scores_gemma":[0.9983692,0.0002745959,0.0006293749,0.0003654342,0.0001580319,0.0002034176],"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":[0.0001121367,0.0001606294,0.00003189533,0.0002670714,0.0002161641,0.000004099263,0.00002507649,0.0064414,0.0001105717,0.001104201,0.990167,0.001359814],"study_design_scores_gemma":[0.001474216,0.0001653344,0.0005887958,0.00006827405,0.00009043139,0.00004716014,0.0004647748,0.01570163,0.0004563042,0.0003960206,0.9797377,0.0008093849],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008677324,0.0004490398,0.005920517,0.0003495831,0.0006828935,0.001009818,0.9898267,0.0002381811,0.0006555736],"genre_scores_gemma":[0.02135957,0.001485254,0.008885748,0.001050171,0.0002334001,0.0002153145,0.9665681,0.00005230807,0.0001502001],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02325863,"threshold_uncertainty_score":0.9999824,"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."}}