{"id":"W3124907338","doi":"10.1029/2019ea000914","title":"Improving ECC Ozonesonde Data Quality: Assessment of Current Methods and Outstanding Issues","year":2021,"lang":"en","type":"article","venue":"Earth and Space Science","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Current (fluid); Quality (philosophy); Measurement uncertainty; Environmental science; Ozone; Computer science; Meteorology; Mathematics; Thermodynamics; Physics; Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.00227546,0.0001077932,0.000221857,0.00002239967,0.0002917625,0.0001855975,0.000252191,0.00002519976,0.0002506035],"category_scores_gemma":[0.0002671277,0.0000860669,0.00001727777,0.0004421522,0.0004225391,0.0006269113,0.0001773735,0.0001204636,0.000002863099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002105711,"about_ca_system_score_gemma":0.000264827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007760246,"about_ca_topic_score_gemma":0.0007602184,"domain_scores_codex":[0.9984723,0.0001321608,0.0002043992,0.0005095672,0.0003697737,0.0003118021],"domain_scores_gemma":[0.9990727,0.0001532739,0.0001161125,0.0004058162,0.00006571537,0.0001863706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004941555,0.0000136497,0.5336829,0.00008475103,0.00000594399,0.00000610515,0.0004021613,0.00003866307,0.005608813,0.001248292,0.00002470627,0.4588791],"study_design_scores_gemma":[0.0002771557,0.00009762978,0.8989385,0.00005666364,0.00002584124,0.00002288315,0.003219985,0.08513051,0.003240073,0.0005400497,0.00818092,0.0002697922],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9563569,0.01599254,0.02283838,0.0007298092,0.0004832541,0.0001131649,0.00009091682,0.00002847932,0.003366552],"genre_scores_gemma":[0.8369536,0.001616825,0.1610693,0.00005030588,0.00004691114,2.375771e-7,0.00001936488,0.000002114477,0.0002413184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4586093,"threshold_uncertainty_score":0.3509706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09822669612556036,"score_gpt":0.4168540500222586,"score_spread":0.3186273538966983,"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."}}