{"id":"W4402057635","doi":"10.1061/9780784485569.067","title":"Concrete Solutions: Repurposing Existing C76 Gravity Pipe to Save $1M and Costly Permitting Delays","year":2024,"lang":"en","type":"article","venue":"","topic":"Complexity and Algorithms in Graphs","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Stantec (Canada)","funders":"","keywords":"Repurposing; Computer science; Engineering; Waste management","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":[0.0008127712,0.0008042805,0.0003068249,0.0009228587,0.001254155,0.000920507,0.001695447,0.0009783198,0.03552126],"category_scores_gemma":[0.003100787,0.0003042537,0.0004809888,0.001075258,0.0005736059,0.00219306,0.001780123,0.001117385,0.007776948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001467932,"about_ca_system_score_gemma":0.002361384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009477272,"about_ca_topic_score_gemma":0.03063653,"domain_scores_codex":[0.9992895,0.0001299901,0.000023128,0.0001265682,0.0002723032,0.0001585104],"domain_scores_gemma":[0.9985451,0.0001994449,0.0001382578,0.0004566164,0.0004336608,0.0002270794],"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":[0.0002929647,0.000441183,0.002385956,0.0003449904,0.00005941822,0.0006443359,0.0004005835,0.09117579,0.02152466,0.1228114,0.1167599,0.6431588],"study_design_scores_gemma":[0.0002331569,0.0009114533,0.004757543,0.000310763,0.0001011224,0.001105618,0.001545894,0.2506372,0.02265865,0.142142,0.5754641,0.0001325203],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1397031,0.0009471216,0.637022,0.01063576,0.0009674415,0.000678211,0.0011242,0.01086613,0.1980562],"genre_scores_gemma":[0.481937,0.0008008864,0.4454398,0.0009996517,0.0001748614,0.0002755857,0.001296505,0.0007831554,0.06829264],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03552126,"threshold_uncertainty_score":0.1188305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05934920457637657,"score_gpt":0.2961935581495783,"score_spread":0.2368443535732017,"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."}}