{"id":"W2016073136","doi":"10.1002/pmj.20080","title":"Analysis of the Front-End Loading of Alberta Mega Oil Sands Projects","year":2008,"lang":"en","type":"article","venue":"Project Management Journal","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Scope (computer science); Mega-; Engineering; Oil sands; Schedule; Front (military); Key (lock); Construction engineering; Civil engineering; Management; Economics; Archaeology; Geography; Computer science; Mechanical 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000267758,0.0001545611,0.0003145268,0.0006382304,0.00009500336,0.00001976237,0.00031122,0.00003927312,0.00005524571],"category_scores_gemma":[0.00002083307,0.0001145707,0.0002717351,0.0009528334,0.00003483765,0.0001054802,0.00006222209,0.0002042867,0.000001928588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005946528,"about_ca_system_score_gemma":0.00001780894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008009643,"about_ca_topic_score_gemma":0.00002901169,"domain_scores_codex":[0.99886,0.00002611675,0.0004091297,0.0001152197,0.0003378228,0.0002517357],"domain_scores_gemma":[0.9995009,0.0000391164,0.0001236355,0.0002590991,0.00003997996,0.00003721544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002225795,0.0000823582,0.01725765,0.0007236431,0.006847212,0.00003402084,0.004773095,0.9549833,0.001214284,0.0003175676,0.002896403,0.01084823],"study_design_scores_gemma":[0.001488711,0.00008298179,0.01609352,0.0006224144,0.00359384,0.0001146259,0.0007585488,0.9447942,0.011049,0.00005065338,0.02066815,0.0006833008],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7208837,0.001930048,0.02073321,0.00007564034,0.001459941,0.0003360648,0.000009590021,0.0001685517,0.2544032],"genre_scores_gemma":[0.9958445,0.001058075,0.001016275,0.000009600791,0.00006089584,0.000006858677,0.000001903351,0.00002491496,0.001976928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2749608,"threshold_uncertainty_score":0.4672057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01398158799803184,"score_gpt":0.2095566369299887,"score_spread":0.1955750489319568,"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."}}