{"id":"W2010339185","doi":"10.1139/l08-035","title":"Dynamic risk analysis in construction projects","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Risk analysis (engineering); Computer science; Set (abstract data type); Bridge (graph theory); Risk assessment; Risk management","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001101125,0.00009201495,0.0002608068,0.004023741,0.00009864614,0.00007368744,0.0002949619,0.0000427729,0.0004882663],"category_scores_gemma":[0.000724091,0.00008168467,0.0001478084,0.003188328,0.00005896409,0.0004446575,0.00001000658,0.000252348,0.00001288788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001431766,"about_ca_system_score_gemma":0.0004389945,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001201174,"about_ca_topic_score_gemma":0.307094,"domain_scores_codex":[0.9986412,0.00003854749,0.0005881664,0.0001315546,0.0003790031,0.0002215481],"domain_scores_gemma":[0.9990288,0.0001113965,0.000282698,0.000179816,0.0001843934,0.0002129075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005361598,0.000002611317,0.7926363,0.000003390877,0.0001015202,0.0001247899,0.0007180096,0.1971005,0.000013311,0.0001644147,0.0003850728,0.008744753],"study_design_scores_gemma":[0.000490476,0.00004467213,0.7649196,0.00003155116,0.0001015804,0.0005459306,0.0005987467,0.2172941,0.00001977117,0.0004931354,0.01523584,0.0002244939],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9742505,0.0002516927,0.02181919,0.00008963521,0.0008042929,0.00006076781,0.0000053809,0.000007584653,0.002710956],"genre_scores_gemma":[0.9983914,0.00007526357,0.001327041,0.0000106963,0.00003914115,9.219769e-7,5.469847e-7,0.000005384419,0.0001496151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3058929,"threshold_uncertainty_score":0.7055497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02580974523137321,"score_gpt":0.2559300171310481,"score_spread":0.2301202718996749,"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."}}