{"id":"W4383957508","doi":"10.24928/2023/0205","title":"Collaborative Dialogue During the Pre-Tendering Phase to Maximize Project Value Generation","year":2023,"lang":"en","type":"article","venue":"Annual Conference of the International Group for Lean Construction","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Procurement; Phase (matter); Value (mathematics); Computer science; Business; Physics; Marketing","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":[0.001250689,0.0001495644,0.0001773342,0.0004013599,0.0004500847,0.0003248183,0.001020149,0.0000509394,0.00008682328],"category_scores_gemma":[0.001227433,0.00009384243,0.000137151,0.001235303,0.0002090163,0.000695932,0.0003334401,0.0001194087,0.00002676985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006948061,"about_ca_system_score_gemma":0.0001314344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008071971,"about_ca_topic_score_gemma":0.000185514,"domain_scores_codex":[0.997802,0.00009600207,0.0005875094,0.0003865556,0.0009319515,0.0001959827],"domain_scores_gemma":[0.9976903,0.0002905171,0.0004097116,0.0003683582,0.001208543,0.000032578],"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":[0.002232938,0.0001784878,0.02163734,0.00007606678,0.0005637952,0.000003394717,0.0221466,0.01334992,0.07973539,0.347247,0.03386875,0.4789603],"study_design_scores_gemma":[0.01023932,0.001157613,0.07209509,0.0003161434,0.0002123134,0.0001940648,0.07854819,0.3752873,0.1057691,0.08669063,0.2678465,0.001643731],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783758,0.000004605231,0.01243113,0.002802696,0.003769011,0.001084466,0.0003343048,0.00006239989,0.001135611],"genre_scores_gemma":[0.9956276,0.00001628309,0.001191977,0.0001006957,0.0003967862,0.0001549428,0.00003887945,0.00001006383,0.002462791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4773166,"threshold_uncertainty_score":0.3826784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09419675737339879,"score_gpt":0.3755974846455855,"score_spread":0.2814007272721867,"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."}}