{"id":"W7140152836","doi":"","title":"A Framework for Enhancing Engineering Deliverables to Improve Construction Performance in Oil and Gas Projects","year":2018,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Deliverable; Schedule; Interview; Petroleum industry; Process (computing); Cost overrun; Root cause; Project management; Capital cost; Data collection","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001558237,0.0002562395,0.0004009981,0.0007375709,0.0001972422,0.0008683286,0.0006082887,0.0002192331,0.0005553767],"category_scores_gemma":[0.0009994892,0.0002351687,0.00004928956,0.0007606342,0.00003178509,0.0007521681,0.0001633497,0.0002306355,0.000134151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006319977,"about_ca_system_score_gemma":0.0001827479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003954239,"about_ca_topic_score_gemma":0.001848054,"domain_scores_codex":[0.9977769,0.00002500095,0.0006700834,0.000787554,0.0004236192,0.0003168119],"domain_scores_gemma":[0.998645,0.0003023564,0.0003215366,0.0003565413,0.0002971427,0.0000774023],"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":[0.0002324967,0.000008266499,0.000675111,0.00009072637,0.00001371341,6.91862e-7,0.0026951,0.00003146962,0.0004591351,0.0001399005,0.0000644317,0.995589],"study_design_scores_gemma":[0.004701225,0.001957882,0.01144092,0.008314212,0.0002671429,0.00006628286,0.05175428,0.07863946,0.1001577,0.0085304,0.7299801,0.004190384],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9869497,0.00005741457,0.001403232,0.00008174224,0.00195663,0.0007227574,0.00001979968,0.000004282717,0.008804402],"genre_scores_gemma":[0.404507,0.0005783901,0.5477403,0.00007634017,0.0008214355,0.0009167704,0.0001505501,0.00008267817,0.04512656],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9913986,"threshold_uncertainty_score":0.9589902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05458206283514309,"score_gpt":0.3618858448616808,"score_spread":0.3073037820265377,"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."}}