{"id":"W4401098268","doi":"10.1007/s10653-024-02132-x","title":"Verification of correction factors for determining mean annual levels of radon in underground facilities","year":2024,"lang":"en","type":"article","venue":"Environmental Geochemistry and Health","topic":"Radioactivity and Radon Measurements","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Environmental science; Radon; Consistency (knowledge bases); Ventilation (architecture); Work (physics); Statistics; Hydrology (agriculture); Meteorology; Geography; Engineering; Mathematics; Archaeology; Mechanical engineering; Geotechnical engineering","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":[0.0005323869,0.00009546339,0.0002057325,0.00004551657,0.0001599933,0.00000251913,0.00003891094,0.0001092322,0.00008541113],"category_scores_gemma":[0.0000200694,0.00009342428,0.00003481571,0.00004395863,0.00007997048,0.0001163936,0.00001683152,0.00020456,0.000001047913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002588774,"about_ca_system_score_gemma":0.0001142573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001898408,"about_ca_topic_score_gemma":0.00006668622,"domain_scores_codex":[0.9990103,0.00008168054,0.0003860495,0.0001974278,0.0001326045,0.0001920006],"domain_scores_gemma":[0.9994829,0.0002122029,0.0001450377,0.00009803547,0.000004791377,0.00005705627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002764929,0.0005593783,0.5055676,0.01583584,0.0001113535,0.000002083369,0.1144516,0.00008844295,0.3044665,0.0001752257,0.001649954,0.05681552],"study_design_scores_gemma":[0.001363711,0.0004250018,0.7929388,0.001392924,0.00002591431,0.000004999566,0.1259763,0.001432227,0.07171252,0.0003306192,0.004110998,0.0002859549],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974067,0.0005794336,0.000518295,0.0001218663,0.0003315311,0.0003335274,0.0004943429,0.00001303969,0.0002012628],"genre_scores_gemma":[0.9986121,0.0002343608,0.00008566242,0.00001958842,0.00004224005,0.00002354095,0.00006786189,0.000008335707,0.0009063134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2873712,"threshold_uncertainty_score":0.3809732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.111581564398593,"score_gpt":0.3848902457730208,"score_spread":0.2733086813744278,"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."}}