{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001854047,0.000694547,0.0005856904,0.0004631966,0.0003306195,0.000765804,0.0009536507,0.001391522,0.00271259],"category_scores_gemma":[0.0005804169,0.0005300698,0.0007065695,0.0003930314,0.0003866068,0.000492386,0.0003689697,0.0004599278,0.0005062381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001261607,"about_ca_system_score_gemma":0.0009187362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06212005,"about_ca_topic_score_gemma":0.0332097,"domain_scores_codex":[0.9999136,0.00001582061,0.000003942198,0.00002034285,0.0000225238,0.00002379605],"domain_scores_gemma":[0.9998379,0.00005230845,0.00002348812,0.00001034877,0.00005835673,0.00001759984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002110032,0.00002057655,0.0007771216,0.00001321255,0.000005094714,0.00004986894,0.00001220999,0.9953602,0.001525032,0.0006294857,0.0001518277,0.001434304],"study_design_scores_gemma":[0.000002779804,0.00001302316,0.0001798273,0.000001805513,0.00000281649,0.000006667773,0.000007959802,0.9992248,0.0002740708,0.0001168278,0.0001671034,0.000002348342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9194327,0.0005877027,0.05358326,0.000384447,0.00007300398,0.00008054337,0.0006140488,0.0005892654,0.02465494],"genre_scores_gemma":[0.9852873,0.0002362864,0.004590671,0.00002414884,0.00001035516,0.00003676402,0.0001659473,0.00007058459,0.009577987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06212005,"threshold_uncertainty_score":0.1235169,"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."}}