{"id":"W2331162515","doi":"10.1093/oxfordjournals.rpd.a006414","title":"Dosimetric Implications of Atmospheric Dispersal of Tritium near a Heavy-water Research Reactor Facility","year":2001,"lang":"en","type":"article","venue":"Radiation Protection Dosimetry","topic":"Radioactive contamination and transfer","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Atomic Energy (Canada); Canadian Nuclear Laboratories","funders":"CANDU Owners Group","keywords":"Tritium; Tritiated water; Environmental science; Urine; Groundwater; Radiochemistry; Heavy water; Environmental chemistry; Precipitation; Chemistry; Geology; Nuclear physics; Geography; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0008792929,0.0001241989,0.0001960795,0.0001117557,0.0002000193,0.00002674964,0.0001765371,0.0001266043,0.003658545],"category_scores_gemma":[0.0002461812,0.0001085645,0.00009864473,0.002229308,0.0003057769,0.0003977354,0.00003894594,0.0002534113,0.0001914274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000374043,"about_ca_system_score_gemma":0.00002639123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001173783,"about_ca_topic_score_gemma":0.00003901059,"domain_scores_codex":[0.9981075,0.0003036643,0.0004320404,0.000347634,0.0005361201,0.000273076],"domain_scores_gemma":[0.9992393,0.0001196552,0.0001019559,0.0003449014,0.00009113723,0.0001030407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004104774,0.001017887,0.3013741,0.00006611009,0.00007840723,0.000001139049,0.001176404,0.0007898443,0.4787418,0.0002770267,0.0003189806,0.2157478],"study_design_scores_gemma":[0.0008323368,0.0002673001,0.6932741,0.000007288534,0.00001789442,0.000006072346,0.00007721781,0.003246952,0.2890589,0.0001520026,0.01289655,0.0001633358],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9530717,0.00006497923,0.04222057,0.0005895914,0.00009926836,0.0009760705,0.0000303102,0.00004891445,0.002898651],"genre_scores_gemma":[0.9991254,0.00005084552,0.000218907,0.00002632177,0.0000249729,0.0001134917,0.00002010754,0.00001165362,0.0004082613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3919,"threshold_uncertainty_score":0.9972522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03064142250947335,"score_gpt":0.2877740015207091,"score_spread":0.2571325790112358,"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."}}