{"id":"W4406848698","doi":"10.54668/2789-6323-2024-115-4-152-166","title":"AN OVERVIEW OF INTERNATIONAL CALIBRATION SYSTEMS AND THEIR ROLE IN ENVIRONMENTAL RESEARCH","year":2025,"lang":"en","type":"article","venue":"Hydrometeorology and ecology","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Calibration; Environmental resource management; Computer science; Environmental science; Management science; Systems engineering; Environmental planning; Engineering; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.000849672,0.00005528117,0.0001313427,0.0001067348,0.00007367582,0.000007093508,0.00009185869,0.0001171895,0.0001166601],"category_scores_gemma":[0.00003252753,0.00005008285,0.000008432811,0.00008992559,0.0003549277,0.0001050889,0.0001530772,0.0001329953,0.000003836165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004765776,"about_ca_system_score_gemma":0.00000440783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002991148,"about_ca_topic_score_gemma":0.0001642412,"domain_scores_codex":[0.9991273,0.0002996088,0.000167689,0.0002001595,0.00005144247,0.0001538326],"domain_scores_gemma":[0.9996535,0.0001943368,0.00003465851,0.0000873153,0.000001752126,0.00002844645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002747988,0.0000793894,0.9824066,0.00001138321,0.000009876616,0.000001784851,0.0006228084,0.0005363616,0.009777945,0.001123393,0.00001467927,0.005388342],"study_design_scores_gemma":[0.0002817633,0.0002492848,0.9484386,0.00001054665,0.000002955332,0.00001461394,0.0008368857,0.04409724,0.0004915766,0.00455967,0.0009617034,0.00005519967],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980773,0.0006697474,0.00003388099,0.0002003087,0.0001413956,0.00008530082,0.000004758136,0.000005570261,0.0007817085],"genre_scores_gemma":[0.999473,0.0003000805,0.00005275878,0.00003958876,0.00001419229,0.00001656696,0.000007102279,0.000002596809,0.00009407166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04356088,"threshold_uncertainty_score":0.2042319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04670891612668982,"score_gpt":0.3259003804876997,"score_spread":0.2791914643610099,"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."}}