{"id":"W6931890050","doi":"10.5683/sp3/kials1","title":"Data Quality Flags for ACE-FTS Level 2 Version 5.1 Data Set","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Isotopologue; Data quality; Occultation; Data set; FLAGS register; NetCDF; Set (abstract data type)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002456478,0.001829046,0.001453709,0.004718893,0.001195108,0.00290994,0.002550643,0.001820452,0.04228003],"category_scores_gemma":[0.008611174,0.0008377531,0.001418263,0.006842404,0.0004601824,0.002073527,0.001602928,0.002134706,0.05729817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00207048,"about_ca_system_score_gemma":0.002465798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0410782,"about_ca_topic_score_gemma":0.03846386,"domain_scores_codex":[0.9968151,0.0002937263,0.0004754554,0.0008636403,0.001184617,0.0003673968],"domain_scores_gemma":[0.9950607,0.0007314536,0.0005779748,0.001397314,0.001978007,0.0002546085],"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":[0.00009902898,0.00004748509,0.003254679,0.0003197366,0.00004508464,0.00003370957,0.00004391436,0.0006875967,0.0004724665,0.000816205,0.9896745,0.004505671],"study_design_scores_gemma":[0.0001557358,0.0000193974,0.0158818,0.0001156463,0.00003227037,0.00005769617,0.00009799363,0.001098158,0.001585873,0.001279767,0.979603,0.00007271249],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004584891,0.00002559276,0.0002884573,0.00004521333,0.00003066748,0.00002979602,0.9972605,0.000879,0.0009823598],"genre_scores_gemma":[0.0007043632,0.00001295127,0.0007513314,0.00002973624,0.000007217636,0.00008234569,0.9977,0.0002148377,0.0004971258],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04228003,"threshold_uncertainty_score":0.1414407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4764847707252839,"score_gpt":0.4588637051244799,"score_spread":0.01762106560080401,"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."}}