{"id":"W6950462041","doi":"10.5683/sp3/tdcb7j","title":"Code used for Assessment of the quality of ACE-FTS stratospheric ozone data","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Ozone layer; Ozone; Code (set theory); Quality (philosophy); Stratosphere; Data quality","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007136178,0.0001589912,0.0004356052,0.000009519252,0.0002131441,0.00001663868,0.001376316,0.00007439075,0.007017168],"category_scores_gemma":[0.0001816441,0.0001102033,0.0001175495,0.0002673529,0.0001196231,0.00006530058,0.0002114909,0.0001586536,2.566612e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008123974,"about_ca_system_score_gemma":0.0002829763,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2445033,"about_ca_topic_score_gemma":0.4790449,"domain_scores_codex":[0.998297,0.0001344223,0.0005408489,0.000310608,0.000533254,0.0001838539],"domain_scores_gemma":[0.9971746,0.0005661148,0.0006329811,0.001515884,0.00007130357,0.00003913673],"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":[0.00001179705,0.00004411136,0.01752586,0.000163778,0.00009819281,3.134596e-7,0.00002076312,0.0004115337,8.949911e-7,0.00003093946,0.9812497,0.0004421021],"study_design_scores_gemma":[0.0001558795,0.00005627412,0.3271234,0.000009007994,0.00007339539,2.074e-7,0.0001969651,0.0003134712,5.685812e-7,0.00003551252,0.6719497,0.00008559648],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005674096,0.0004681886,0.00005165652,0.0003002123,0.0002958777,0.0004905245,0.9977341,0.000006435313,0.00008556697],"genre_scores_gemma":[0.0002578979,0.0003973582,0.0009697541,0.0001050849,0.00005919853,0.00001067073,0.9981576,0.000003661317,0.00003877246],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3095975,"threshold_uncertainty_score":0.9938905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.143099717614904,"score_gpt":0.3578102636226334,"score_spread":0.2147105460077294,"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."}}