{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002642025,0.0006900749,0.0006347951,0.00008728029,0.0005099406,0.0002059287,0.0003143377,0.0004699197,0.001050734],"category_scores_gemma":[0.0002021933,0.0007075819,0.0003090317,0.0003131194,0.0003460398,0.001617926,0.0001485739,0.0005841026,0.0003935319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001589963,"about_ca_system_score_gemma":0.0009073447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003599987,"about_ca_topic_score_gemma":0.000009322333,"domain_scores_codex":[0.9953251,0.00005208088,0.001307804,0.0006790019,0.002204496,0.0004315266],"domain_scores_gemma":[0.9976611,0.0001973681,0.001193108,0.0002940471,0.0001997575,0.0004545768],"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":[0.001197612,0.0003151746,0.0002826744,0.0002516411,0.0002144018,0.000008051644,0.00006194993,0.0001452793,0.00002279594,0.0001423238,0.996321,0.001037132],"study_design_scores_gemma":[0.003377544,0.001008424,0.005177289,0.0001092575,0.000227438,0.0001265231,0.0003925024,0.005464216,0.00002670694,0.00004746562,0.9834122,0.0006304301],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006849627,0.0001470968,0.001477918,0.002614515,0.0005425611,0.001618951,0.9921882,0.00006731317,0.0006584486],"genre_scores_gemma":[0.02143905,0.001423385,0.001425893,0.008114925,0.0005653751,0.0001245111,0.9664384,0.00004047418,0.0004279986],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02574984,"threshold_uncertainty_score":0.9998624,"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."}}