{"id":"W2173284800","doi":"10.1139/l11-111","title":"Risk identification and mitigation for architectural, engineering, and construction firms operating in the Gulf region","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"CONTEST; Recession; Identification (biology); Middle East; Business; Engineering; Civil engineering; Economy; Economics; Geography; Political science; Macroeconomics","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":[0.001770237,0.00007056695,0.0001001199,0.0005083761,0.0001136869,0.0002262548,0.0001196809,0.00003017411,0.00000945447],"category_scores_gemma":[0.001045838,0.00005250741,0.00002831403,0.00027295,0.00003279424,0.0005664715,0.000006654937,0.0001419822,4.704371e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000319497,"about_ca_system_score_gemma":0.00003849459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001260318,"about_ca_topic_score_gemma":0.003901662,"domain_scores_codex":[0.99921,0.00002893674,0.0003637001,0.00008005609,0.0001572344,0.000160048],"domain_scores_gemma":[0.9992821,0.0002603507,0.0001735899,0.00008968107,0.00008332417,0.0001109861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001305768,0.000007641308,0.6580266,0.0001069157,0.00005418429,0.000007472697,0.01414816,0.09057311,0.00113819,0.01129052,0.001548099,0.2230861],"study_design_scores_gemma":[0.0008026733,0.00007946047,0.7234005,0.0001598456,0.00004890154,0.001473376,0.002646978,0.2348831,0.0002802226,0.001868023,0.03405111,0.0003058638],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.936069,0.0005858024,0.06215198,0.0003932071,0.000592765,0.0001420348,0.000002842483,0.000003921105,0.00005847097],"genre_scores_gemma":[0.9983606,0.0000358345,0.001373922,0.00001724177,0.0001858635,0.000005195111,7.898161e-7,0.000004961249,0.00001560333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2227802,"threshold_uncertainty_score":0.218178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.025740264628097,"score_gpt":0.2588028238365445,"score_spread":0.2330625592084475,"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."}}