{"id":"W2772629071","doi":"10.7492/ijaec.2017.018","title":"Analysis of the Major Causes of Poor Quality As-built Records of Underground Utilities","year":2017,"lang":"en","type":"article","venue":"International Journal of Architecture Engineering and Construction","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Business; Forensic engineering; Engineering","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":[0.00019311,0.00005164893,0.0001371715,0.0001364337,0.00004578775,0.00001445977,0.0002324804,0.00002519925,0.00008225396],"category_scores_gemma":[0.0002917519,0.00003476425,0.0001006733,0.0001096186,0.0002216292,0.0001270529,0.00005698048,0.00009285662,1.019434e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003646772,"about_ca_system_score_gemma":0.00003050179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000723966,"about_ca_topic_score_gemma":0.0001317601,"domain_scores_codex":[0.9992399,0.00001202123,0.0003507299,0.00005304524,0.0003019442,0.00004241691],"domain_scores_gemma":[0.99909,0.0000696569,0.0005943544,0.0001122607,0.0001147709,0.0000190276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001013875,0.00008463563,0.8532187,0.00003978758,0.001744064,6.783857e-7,0.001065251,0.03348181,0.04784675,0.02302106,0.00002599768,0.03936985],"study_design_scores_gemma":[0.0001504376,0.00003382155,0.9873907,0.00004980702,0.0001029203,0.00004554035,0.0003636205,0.0004016812,0.007796639,0.003367958,0.0002542699,0.00004258271],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960746,0.00002248803,0.002221767,0.0006408946,0.0004817678,0.00002142183,0.00002050295,0.000001302331,0.0005152574],"genre_scores_gemma":[0.9978923,0.00001885053,0.001971215,0.00001082659,0.00004464273,4.869104e-7,0.000001272342,0.000002398266,0.00005800181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.134172,"threshold_uncertainty_score":0.1417645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01092846088358221,"score_gpt":0.2772964874981711,"score_spread":0.2663680266145889,"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."}}