{"id":"W6964878940","doi":"10.25921/p1y5-yv98","title":"GHRSST NOAA/STAR Himawari-08 AHI L3C Pacific Ocean Region SST v2.70 dataset (GDS version 2)","year":2020,"lang":"en","type":"dataset","venue":"National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Information (NCEI)","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Product (mathematics); Sea surface temperature; Data assimilation; Wind speed; Grid; 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":[0.0006757833,0.0008910138,0.0007112819,0.001369386,0.0006921504,0.001160298,0.001718897,0.0008544404,0.02335894],"category_scores_gemma":[0.001510038,0.0004443469,0.0008068837,0.003164449,0.0003166482,0.0008857349,0.0009918602,0.00112217,0.02035437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001106075,"about_ca_system_score_gemma":0.00329287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2010328,"about_ca_topic_score_gemma":0.2245997,"domain_scores_codex":[0.9994642,0.00005406456,0.00003818932,0.0001280706,0.0002210265,0.00009436889],"domain_scores_gemma":[0.9991053,0.00004398597,0.00007240286,0.0001929596,0.0004981301,0.0000872407],"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":[0.0001321321,0.00004925093,0.009073231,0.0004034874,0.0001073232,0.00007449225,0.0001130746,0.003153658,0.001752368,0.001014237,0.9747326,0.009394086],"study_design_scores_gemma":[0.0002576635,0.00002709599,0.04956414,0.0001961884,0.00006731305,0.00006155565,0.0003355353,0.006600953,0.00244224,0.001433142,0.9389196,0.00009453408],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002743922,0.00004572574,0.0005464019,0.0000999674,0.0000801753,0.00002950666,0.9922448,0.0009114284,0.003298113],"genre_scores_gemma":[0.005030883,0.00004047568,0.002392865,0.00006694928,0.00001850968,0.00008294813,0.9906295,0.0002853525,0.001452517],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2010328,"threshold_uncertainty_score":0.3997254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01585581422865426,"score_gpt":0.2106167575752481,"score_spread":0.1947609433465939,"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."}}