{"id":"W2080827875","doi":"10.1016/s0886-7798(02)00062-7","title":"Implementing quality control in HDD projects—a North American prospective","year":2001,"lang":"en","type":"article","venue":"Tunnelling and Underground Space Technology","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Quality assurance; Quality (philosophy); Context (archaeology); Control (management); Engineering; Quality management; Directional drilling; Quality management system; Operations management; Manufacturing engineering; Engineering management; Risk analysis (engineering); Computer science; Drilling; Business; Management system; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003075303,0.0002485884,0.000396044,0.0004180424,0.0001145045,0.00004521149,0.0001311487,0.0001016996,0.000003494193],"category_scores_gemma":[0.00004299297,0.0002643057,0.00003705541,0.0009698715,0.0001235595,0.00009679748,0.00003714715,0.0004462242,0.000007282707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001225722,"about_ca_system_score_gemma":0.00001402488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000351733,"about_ca_topic_score_gemma":0.003194064,"domain_scores_codex":[0.9984758,0.00002150605,0.000319852,0.0003395232,0.000105706,0.000737566],"domain_scores_gemma":[0.9994965,0.00010835,0.00006062511,0.0002409714,0.00003040859,0.00006315965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003742725,0.00007107744,0.8164485,0.0001362215,0.0001409581,0.00006672821,0.0007339198,0.1480695,0.00217037,0.01522489,0.00004014836,0.01686025],"study_design_scores_gemma":[0.005350854,0.0005490964,0.1383284,0.0002561251,0.0001028864,0.0002338902,0.009671849,0.815334,0.001896248,0.01439452,0.01136091,0.002521215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8532318,0.0005156548,0.1431496,0.0003265959,0.0001041727,0.0002312062,0.000002779995,0.001169128,0.001269044],"genre_scores_gemma":[0.9979475,0.0006689197,0.001112242,0.00002306714,0.00006002833,0.00004479639,0.000003240069,0.00004771013,0.00009250811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6781201,"threshold_uncertainty_score":0.9999809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009437603873049158,"score_gpt":0.2340920851795101,"score_spread":0.224654481306461,"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."}}