{"id":"W6913243354","doi":"10.5683/sp3/lwmgrm","title":"North America ISD to ERA5 (NA-ISD2ERA) Catalogue","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Dew point; Grid; Grid cell; Dew; National Grid; Wind speed; Air temperature","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002824224,0.0009367323,0.001088646,0.0008559843,0.0003983773,0.0002181456,0.002478789,0.0002558042,0.0183622],"category_scores_gemma":[0.0004191832,0.001001619,0.0003279469,0.00159338,0.0001739844,0.0001506547,0.00142313,0.001178719,0.005915948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008297436,"about_ca_system_score_gemma":0.0005222406,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.55465,"about_ca_topic_score_gemma":0.4590558,"domain_scores_codex":[0.9949208,0.0003451416,0.0007192228,0.001391033,0.001506448,0.001117378],"domain_scores_gemma":[0.9947215,0.0001441684,0.0005157075,0.003774886,0.0001554407,0.0006882596],"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":[0.0001010422,0.0002091613,0.00002382472,0.00006940091,0.0001928317,0.0006016337,0.0001667069,0.0001562819,0.000002483428,0.000004247678,0.9973978,0.001074611],"study_design_scores_gemma":[0.0002843743,0.0002424091,0.000898407,0.00002131689,0.0002637767,0.00005135077,0.00006137273,0.000002833397,0.000003300993,0.000006077824,0.9970378,0.001127022],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001350871,0.0001753902,0.000005098883,0.0002470196,0.0004225333,0.0009698894,0.9972069,0.000364835,0.0005948317],"genre_scores_gemma":[0.000002373388,0.0001093361,0.0001130658,0.003660195,0.000516622,0.0008791374,0.9941402,0.0003412834,0.0002377847],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09559423,"threshold_uncertainty_score":0.9992434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01787628996913433,"score_gpt":0.2666004899577804,"score_spread":0.2487241999886461,"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."}}