{"id":"W4416768010","doi":"10.18280/mmep.121028","title":"Enhancing Organizational and Technological Structures in Construction via a Mixed Framework Validated Through Delphi and NSGA-II","year":2025,"lang":"","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Delphi method; Delphi; Key (lock); Work (physics); Context (archaeology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01366532,0.0008878307,0.0006287172,0.001746595,0.00151965,0.002802975,0.001121221,0.0009726352,0.002791503],"category_scores_gemma":[0.01507008,0.0005544641,0.0007219377,0.001110349,0.001799276,0.002078083,0.004129261,0.0009643657,0.0002005541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003522895,"about_ca_system_score_gemma":0.008618086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003712315,"about_ca_topic_score_gemma":0.007266367,"domain_scores_codex":[0.9860701,0.01096949,0.000302903,0.0004724581,0.001504075,0.0006809783],"domain_scores_gemma":[0.9914969,0.005805572,0.00050607,0.0006612989,0.001141351,0.0003887818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"qualitative","study_design_scores_codex":[0.000669595,0.001185869,0.01632792,0.001030386,0.0002808309,0.0002184164,0.01002009,0.5962759,0.01286026,0.186764,0.0009864379,0.1733803],"study_design_scores_gemma":[0.000127012,0.001463057,0.006038044,0.0003893748,0.000157334,0.00009472028,0.007831539,0.9038705,0.005355066,0.06717683,0.007425444,0.00007107168],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3670668,0.00009172344,0.6130382,0.0005167907,0.00001751177,0.001755382,0.00009297208,0.0001245064,0.01729615],"genre_scores_gemma":[0.7346617,0.00003818337,0.2630893,0.0000381193,0.00000215558,0.001149728,0.00005139124,0.00001745656,0.000951923],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01366532,"threshold_uncertainty_score":0.07226998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03964097321502329,"score_gpt":0.3159874648111606,"score_spread":0.2763464915961373,"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."}}