{"id":"W2893976955","doi":"10.7492/ijaec.2018.005","title":"Critical Determinants of Public Construction Tendering Costs","year":2018,"lang":"en","type":"article","venue":"International Journal of Architecture Engineering and Construction","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Procurement; Business; Marketing","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":[0.0008704049,0.0001076938,0.0002079998,0.0009077194,0.00006527206,0.0001632038,0.0003191939,0.00005401502,0.0001111227],"category_scores_gemma":[0.001726506,0.00008654018,0.00008536239,0.0002900211,0.0004011977,0.0004842025,0.00008088421,0.0001875604,0.000003135779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003819496,"about_ca_system_score_gemma":0.00005568542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005156682,"about_ca_topic_score_gemma":0.00000711971,"domain_scores_codex":[0.9981935,0.00004759786,0.0007018249,0.000153634,0.0007723173,0.0001311335],"domain_scores_gemma":[0.9979047,0.0003049773,0.0003850269,0.0001146947,0.001208871,0.0000817919],"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":[0.00006362594,0.00001060861,0.05014062,0.000008656933,0.00005760888,0.000007060013,0.0001963902,0.0001609046,0.001900851,0.009677324,0.00002549833,0.9377509],"study_design_scores_gemma":[0.009479405,0.003347186,0.3731924,0.002190457,0.0003870158,0.08161154,0.01090661,0.1472093,0.1039339,0.1189912,0.1462488,0.002502156],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.870703,0.00006816113,0.123819,0.000495508,0.004309416,0.00003660759,0.000005364343,0.00001541958,0.0005474302],"genre_scores_gemma":[0.9716898,0.00003492815,0.02760549,0.00001727974,0.0006314308,7.409092e-7,3.797111e-7,0.00000594941,0.00001405387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9352487,"threshold_uncertainty_score":0.3529006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03283240939448338,"score_gpt":0.3358092901199381,"score_spread":0.3029768807254547,"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."}}