{"id":"W4402057728","doi":"10.1061/9780784485569.020","title":"Sewer Pipeline Material Selection Is Easy, Right? It’s More Complex Than You Might Think","year":2024,"lang":"en","type":"article","venue":"","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Stantec (Canada)","funders":"","keywords":"Pipeline (software); Selection (genetic algorithm); Computer science; Artificial intelligence; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004511611,0.0006973313,0.0005302095,0.0008375464,0.003154112,0.004770871,0.001323048,0.002601686,0.01994556],"category_scores_gemma":[0.01130368,0.000568899,0.0004364991,0.00102269,0.003647066,0.005610811,0.001645395,0.002546766,0.007125617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001426359,"about_ca_system_score_gemma":0.003488975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005076081,"about_ca_topic_score_gemma":0.01767362,"domain_scores_codex":[0.9964167,0.000846045,0.0001743297,0.0003929487,0.001771083,0.0003989172],"domain_scores_gemma":[0.9950525,0.001133209,0.0007095358,0.0004506685,0.002051318,0.0006027438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001857535,0.0005467049,0.02176533,0.001357847,0.00008856433,0.001755824,0.004522982,0.003203705,0.01117923,0.07337686,0.2611214,0.6208958],"study_design_scores_gemma":[0.00008054693,0.0004620893,0.0133209,0.001535946,0.00006375586,0.002105393,0.02147346,0.001976652,0.007915639,0.07172593,0.8791483,0.0001914054],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1020313,0.008295026,0.1693044,0.4477416,0.004320621,0.0007092311,0.0006096446,0.001990645,0.2649975],"genre_scores_gemma":[0.5800373,0.01084656,0.2379568,0.0316654,0.001779346,0.0003604651,0.0004476479,0.001427903,0.1354786],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01994556,"threshold_uncertainty_score":0.06672454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008747391761790138,"score_gpt":0.2206269733435597,"score_spread":0.2118795815817695,"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."}}