{"id":"W2002357386","doi":"10.1139/v07-021","title":"Monte Carlo simulation study of the effects of acidity and LET on the primary free-radical and molecular yields of water radiolysis — Application to the Fricke dosimeter","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Chemistry","topic":"Advanced oxidation water treatment","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chemistry; Radiolysis; Radical; Sulfuric acid; Aqueous solution; Yield (engineering); Solvated electron; Radiation chemistry; Analytical Chemistry (journal); Nuclear chemistry; Inorganic chemistry; Chemical reaction; Physical chemistry; Organic chemistry; Thermodynamics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002541969,0.00006992088,0.0001158938,0.00001568284,0.00005805682,0.000005487783,0.0001983324,0.00003484845,0.00001645475],"category_scores_gemma":[0.00007274852,0.00003348399,0.00003422314,0.0000777399,0.0001329353,0.00003690294,0.0000395716,0.00009218496,2.304988e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001053212,"about_ca_system_score_gemma":0.00001588905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004942397,"about_ca_topic_score_gemma":0.0004322467,"domain_scores_codex":[0.9993612,0.00003635582,0.0002140254,0.00008752878,0.0002059277,0.00009493742],"domain_scores_gemma":[0.999349,0.0001211127,0.0001451045,0.0002581383,0.00001848026,0.000108144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005572493,0.00009731872,0.06465811,0.00004324874,0.00009518304,0.00001136303,0.00442093,0.03076743,0.895718,9.960288e-7,0.0001293091,0.004002346],"study_design_scores_gemma":[0.0003725421,0.0001059347,0.08931956,0.00002317477,0.00005895905,0.000007038154,0.0002001934,0.0001508543,0.909483,0.00004441188,0.0001885666,0.00004581294],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986045,0.00004818018,0.0005164653,0.0005213371,0.00001532248,0.000230315,0.000004417998,5.779348e-7,0.00005886675],"genre_scores_gemma":[0.9997689,0.000001972037,0.00007084083,0.0001230491,0.00001269495,0.000003158901,3.56794e-7,0.000004407887,0.00001460288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03061657,"threshold_uncertainty_score":0.1365437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003589036531756077,"score_gpt":0.1925223880860361,"score_spread":0.1889333515542801,"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."}}