{"id":"W3048152658","doi":"10.1061/9780784483213.012","title":"Utility Coordination in Alternative Delivery Methods for Transportation Projects: Lessons Learned from In-Market Design Phase (Bid Process)","year":2020,"lang":"en","type":"article","venue":"Pipelines 2020","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBI Group (Canada)","funders":"","keywords":"Schedule; Relocation; Process (computing); Key (lock); General partnership; Risk analysis (engineering); Process management; Task (project management); Business; Computer science; Critical success factor; Phase (matter); Operations research; Computer security; Engineering; Finance; Systems engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01798671,0.0005967475,0.000554038,0.0007331336,0.002127323,0.0056353,0.002407252,0.001628206,0.00847133],"category_scores_gemma":[0.02003378,0.0007576654,0.0006146093,0.0008790051,0.002792781,0.005808802,0.002724996,0.002407052,0.001219675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006464411,"about_ca_system_score_gemma":0.00911916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01429636,"about_ca_topic_score_gemma":0.01699709,"domain_scores_codex":[0.9902235,0.006345472,0.0002179332,0.0005904331,0.001954327,0.0006683822],"domain_scores_gemma":[0.9881079,0.007883871,0.0005653182,0.001089408,0.001780382,0.0005731352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003892711,0.001102121,0.005764639,0.0005994783,0.00003710285,0.0004263719,0.008474235,0.1146741,0.003472512,0.5170205,0.007969964,0.3400697],"study_design_scores_gemma":[0.0006316883,0.002016318,0.006322597,0.0006298791,0.00008050908,0.0005357783,0.01263701,0.3413002,0.01073251,0.3684773,0.2564174,0.0002188777],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1379677,0.001660949,0.7149678,0.005594388,0.0001661396,0.001127891,0.0001403662,0.0003465196,0.1380282],"genre_scores_gemma":[0.7701951,0.001101328,0.2094272,0.0002785971,0.00005163251,0.0004123864,0.0001145953,0.0002723972,0.01814674],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01798671,"threshold_uncertainty_score":0.09512401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08535957007173667,"score_gpt":0.3704271516320015,"score_spread":0.2850675815602648,"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."}}