{"id":"W4394819665","doi":"10.1002/awwa.2265","title":"Modeling Copper Alloy Corrosion in Underground Service Line Components","year":2024,"lang":"en","type":"article","venue":"American Water Works Association","topic":"Material Properties and Applications","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Resources Canada","keywords":"Copper; Corrosion; Copper alloy; Alloy; Metallurgy; Service (business); Line (geometry); Materials science; Business; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0004196575,0.0001277347,0.0001897264,0.00006822032,0.0001094185,0.000384359,0.0001514753,0.00006430416,0.0001794288],"category_scores_gemma":[0.00001166013,0.00009477671,0.00003355507,0.000280613,0.00001949145,0.0003009019,0.00009170412,0.0001237841,0.0007624546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003845413,"about_ca_system_score_gemma":0.00001781162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004096694,"about_ca_topic_score_gemma":0.0003687043,"domain_scores_codex":[0.9987212,0.00008816826,0.0003081643,0.0003088021,0.0002421601,0.0003314365],"domain_scores_gemma":[0.9996338,0.00003979434,0.00005754749,0.0001548364,0.00006741396,0.00004656944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002681237,0.00005141777,0.000415781,0.00002741236,0.000005546325,0.000001869781,0.0008085841,0.03493466,0.9625102,0.00009867385,0.00036244,0.0007565741],"study_design_scores_gemma":[0.0004039627,0.00007226854,0.0006002461,0.0003682011,0.00003877475,0.000002476158,0.000640579,0.9330168,0.0583274,0.0009224728,0.005129315,0.0004774738],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909371,0.00005926261,0.002871903,0.005129161,0.0004843567,0.0001828874,0.00001172994,0.0001604287,0.0001631683],"genre_scores_gemma":[0.9981664,0.00006267349,0.0003185228,0.0006939165,0.000155997,0.00005020655,0.0001094232,0.00002586814,0.0004170003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9041829,"threshold_uncertainty_score":0.9800066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02037114015489969,"score_gpt":0.2522091578534151,"score_spread":0.2318380176985154,"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."}}