{"id":"W2952938286","doi":"10.19255/jmpm01901","title":"Benchmarking Project Resilience","year":2019,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Resilience (materials science); Process management; Project management; Project management triangle; OPM3; Project charter; Extreme project management; Benchmarking; Set (abstract data type); Project team; Project planning; Project stakeholder; Computer science; Risk analysis (engineering); Business; Environmental resource management; Management science; Engineering; Knowledge management; Systems engineering; Environmental science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02119187,0.0009922283,0.0005464142,0.009377012,0.001418486,0.002764801,0.001314103,0.0006234017,0.01496191],"category_scores_gemma":[0.06624062,0.0002832974,0.0006722638,0.008009739,0.001251273,0.003046198,0.006680749,0.0008651307,0.002502087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005262207,"about_ca_system_score_gemma":0.006146848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008626788,"about_ca_topic_score_gemma":0.00999593,"domain_scores_codex":[0.9787636,0.008056204,0.002331945,0.001884072,0.006871922,0.002092283],"domain_scores_gemma":[0.9502785,0.009612368,0.007182126,0.006577046,0.02245489,0.003895158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007417359,0.0004002441,0.1678039,0.001572051,0.0003385279,0.0003330109,0.009624914,0.04823955,0.004628987,0.05155236,0.04359462,0.6711701],"study_design_scores_gemma":[0.0001394874,0.002797751,0.574128,0.002260111,0.0002048238,0.000732916,0.02106629,0.05049188,0.01146551,0.03615522,0.3000846,0.0004733512],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5720205,0.001625148,0.1477075,0.002463457,0.0007436074,0.003753596,0.01203442,0.003867936,0.2557839],"genre_scores_gemma":[0.9391072,0.0005903692,0.03986154,0.0001114261,0.00004590266,0.002352912,0.005671829,0.0003288375,0.01193002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02119187,"threshold_uncertainty_score":0.1120747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02927203772738639,"score_gpt":0.3048704805826632,"score_spread":0.2755984428552768,"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."}}