{"id":"W6908350231","doi":"10.25921/4cs0-ym62","title":"GHRSST NOAA/STAR GOES-17 ABI L3C America Region SST v2.71 dataset (GDS version 2)","year":2020,"lang":"en","type":"dataset","venue":"National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Information (NCEI)","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Product (mathematics); Grid; Systematic error; Wind speed; Volume (thermodynamics); Calibration","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":[0.0007419929,0.001234271,0.0008973244,0.002043539,0.0006779895,0.001303367,0.001782182,0.00107628,0.02660442],"category_scores_gemma":[0.001537651,0.0005950307,0.001006705,0.004390233,0.0003658586,0.0009691566,0.0009248524,0.001162331,0.03030372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001118853,"about_ca_system_score_gemma":0.002431263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1461622,"about_ca_topic_score_gemma":0.155378,"domain_scores_codex":[0.9993964,0.00006232377,0.00005369418,0.0001586002,0.000225856,0.0001029794],"domain_scores_gemma":[0.9990601,0.00005908901,0.00007931922,0.0002044855,0.0005141482,0.00008284409],"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":[0.0001533829,0.00004743971,0.006845604,0.0005506397,0.000128167,0.00009966684,0.0001150787,0.003696143,0.002350801,0.0009781413,0.9767306,0.008304334],"study_design_scores_gemma":[0.0003079675,0.00002395442,0.03014928,0.0001822656,0.00006586809,0.00006939953,0.0002435362,0.004860659,0.002046505,0.001412933,0.9605438,0.00009389121],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001845955,0.00004520774,0.0004814572,0.00007503884,0.00006333444,0.00002025211,0.9938806,0.001285066,0.002303005],"genre_scores_gemma":[0.0034462,0.00003157978,0.001599558,0.00005270658,0.00001601602,0.00006153637,0.9934249,0.0003559318,0.00101156],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1461622,"threshold_uncertainty_score":0.2906229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01578681583650913,"score_gpt":0.2675866571617086,"score_spread":0.2517998413251994,"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."}}