{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00165105,0.0003158004,0.0002611858,0.0009217357,0.001304792,0.001571193,0.0005429012,0.001012143,0.002482815],"category_scores_gemma":[0.006616719,0.0002234568,0.0003648187,0.0008326695,0.0005073579,0.0009049083,0.001402549,0.001116819,0.0001797832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002936311,"about_ca_system_score_gemma":0.004182722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1194606,"about_ca_topic_score_gemma":0.1542434,"domain_scores_codex":[0.9993417,0.0002550363,0.00002946805,0.00003529253,0.00007161949,0.000266968],"domain_scores_gemma":[0.9975165,0.001007035,0.0005807537,0.00005486201,0.0003185769,0.0005222402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001113688,0.001068533,0.9139405,0.00006059009,0.00009802643,0.0007130762,0.004894101,0.02652067,0.0006318957,0.005232708,0.002270995,0.04345512],"study_design_scores_gemma":[0.0001464113,0.001223186,0.7822594,0.0002811803,0.000161698,0.0003411132,0.0984714,0.101105,0.001825369,0.009852147,0.00424776,0.00008543338],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980733,0.00007389845,0.0001327496,0.001038916,0.000002254189,0.000009486483,0.00003334084,0.000001758453,0.0006343077],"genre_scores_gemma":[0.9991305,0.0001297504,0.0001460636,0.00004129691,0.000002471426,0.000005606984,0.00004102707,7.718428e-7,0.0005023365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1194606,"threshold_uncertainty_score":0.2375305,"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."}}