{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01082873,0.0006420176,0.0004909535,0.002046213,0.0006485998,0.0007539716,0.001154147,0.000601117,0.000803922],"category_scores_gemma":[0.0472446,0.0004041348,0.0006177966,0.00209193,0.0003703786,0.0006064076,0.0005687865,0.0004683366,0.0004663219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008997023,"about_ca_system_score_gemma":0.001510066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01019759,"about_ca_topic_score_gemma":0.01123027,"domain_scores_codex":[0.9878951,0.00388653,0.001691646,0.001995252,0.004010401,0.0005210139],"domain_scores_gemma":[0.9620031,0.01368206,0.004215271,0.007279905,0.01254679,0.0002728912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006996639,0.0002694166,0.7784008,0.0002613257,0.000135452,0.000182805,0.001501856,0.008846939,0.04257531,0.0005071724,0.001283844,0.1653353],"study_design_scores_gemma":[0.00006909514,0.001006202,0.8548614,0.00007045228,0.0001960865,0.0006765099,0.0009035277,0.03332097,0.1004766,0.0004568829,0.007871305,0.00009103354],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.82371,0.0002414962,0.1691508,0.00009109397,0.0001130588,0.0003971597,0.001630848,0.001729554,0.00293596],"genre_scores_gemma":[0.861935,0.00008027812,0.13556,0.00002072741,0.00002100531,0.0003683132,0.001192786,0.0002316403,0.0005903521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01082873,"threshold_uncertainty_score":0.0572685,"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."}}