{"id":"W3005950680","doi":"10.1061/(asce)la.1943-4170.0000378","title":"Improving Concurrency Assessment and Resolving Misconceptions about But-For Delay Analysis Technique","year":2020,"lang":"en","type":"article","venue":"Journal of Legal Affairs and Dispute Resolution in Engineering and Construction","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Concurrency; Computer science; Reliability engineering; Programming language; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002888375,0.0001117474,0.000243094,0.0002075354,0.00009889212,0.0001562345,0.00008208361,0.00006311756,9.406284e-7],"category_scores_gemma":[0.00004068947,0.0001044452,0.00006849071,0.0003225643,0.00005215475,0.0004704044,0.00003995922,0.0002152824,3.280174e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003632488,"about_ca_system_score_gemma":0.00005983673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001295828,"about_ca_topic_score_gemma":0.000003737247,"domain_scores_codex":[0.9991404,0.00003109295,0.0003713341,0.0001936861,0.0001148073,0.0001486571],"domain_scores_gemma":[0.9994353,0.00008252324,0.0001859437,0.00006297456,0.00009269753,0.0001405626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009028697,0.00004530371,0.007367538,0.0002486166,0.0003447022,0.00003512199,0.000630142,0.0767396,0.007406827,0.197935,0.00007226756,0.7090846],"study_design_scores_gemma":[0.0006556574,0.0001500346,0.003554387,0.00007559846,0.0001020893,0.0001852506,0.000241876,0.9941767,0.00002984119,0.00008664461,0.0006118501,0.0001300715],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04130146,0.001870213,0.9556966,0.0007767383,0.0001687503,0.0001169699,0.000003782601,0.00003140701,0.00003402357],"genre_scores_gemma":[0.9113936,0.0003204129,0.08812203,0.00001741504,0.0001263692,0.0000120675,9.57389e-7,0.000004003747,0.000003107814],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9174371,"threshold_uncertainty_score":0.4259151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006239242962251285,"score_gpt":0.2217282029730976,"score_spread":0.2154889600108463,"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."}}