{"id":"W2388833621","doi":"","title":"Calculation Method of Design Flow for Water Supply Pipelinein Residential Quarter","year":2011,"lang":"en","type":"article","venue":"Journal of Shenyang Jianzhu University","topic":"Water Systems and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pipeline (software); Water supply; Flow (mathematics); Quarter (Canadian coin); Pipeline transport; Limit (mathematics); Environmental science; Engineering; Environmental engineering; Mathematics; Mechanical 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003396379,0.00007366666,0.0001733367,0.0001704879,0.00003389857,0.000007602046,0.0001054542,0.00006869411,0.00004619583],"category_scores_gemma":[0.000005566515,0.00006078547,0.0001100615,0.00005867442,0.00001006298,0.0003328737,0.000009947904,0.000063784,0.000002348638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005553826,"about_ca_system_score_gemma":0.00001300567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004298566,"about_ca_topic_score_gemma":0.00001685017,"domain_scores_codex":[0.9994388,0.00005803134,0.0002333159,0.00005607693,0.0001042797,0.0001094804],"domain_scores_gemma":[0.9995785,0.00002267026,0.000086985,0.00007475245,0.0001909217,0.00004612932],"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":[0.001222295,0.0001282514,0.001686675,0.0004047749,0.0005100888,0.00009307705,0.02113697,0.8760878,0.04140956,0.0003887494,0.05402103,0.002910736],"study_design_scores_gemma":[0.003743984,0.0005374225,0.007501282,0.0002501966,0.00042546,0.00008831759,0.001049996,0.6705779,0.3077547,0.0006878293,0.006958935,0.000423921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01630647,0.00003049722,0.9829733,0.00003141547,0.0003176787,0.0001060056,0.000006696455,0.0000150667,0.0002128398],"genre_scores_gemma":[0.7020618,0.00001373374,0.2974078,0.000002928901,0.000126678,1.369433e-7,0.000003358398,0.00001273074,0.0003707666],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6857554,"threshold_uncertainty_score":0.2478759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02089523999957569,"score_gpt":0.197936394393227,"score_spread":0.1770411543936514,"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."}}