{"id":"W2120985387","doi":"10.1061/(asce)1076-0342(2003)9:1(35)","title":"Real-Time Monitoring for Quality Delivery of Directional Drilling Installations","year":2003,"lang":"en","type":"article","venue":"Journal of Infrastructure Systems","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Trenchless technology; Quality assurance; Directional drilling; Quality (philosophy); Drilling; Engineering; Load cell; Load management; Control (management); Pipeline transport; Reliability engineering; Computer science; Operations management; Mechanical engineering; Electrical 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":[],"consensus_categories":[],"category_scores_codex":[0.0003560938,0.0001461971,0.0003787043,0.0001593856,0.00005545209,0.00002974508,0.0001089605,0.000145326,0.000008993647],"category_scores_gemma":[0.0001623708,0.0001260229,0.0001690543,0.0001536707,0.00002020029,0.0001315802,0.000005409433,0.0002165255,3.258128e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001181864,"about_ca_system_score_gemma":0.00005116168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001211295,"about_ca_topic_score_gemma":3.938653e-7,"domain_scores_codex":[0.9987179,0.00003814864,0.0007502266,0.00007557196,0.0002539118,0.0001642194],"domain_scores_gemma":[0.9990633,0.0002050974,0.0002477428,0.0001214473,0.0002802176,0.00008217211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000009747469,0.000003800396,0.0005322604,0.0001751335,0.0001149182,7.844888e-7,0.00006385859,0.8855481,0.1116451,0.001417149,0.0002842302,0.0002049718],"study_design_scores_gemma":[0.01301212,0.001779788,0.2622781,0.005237124,0.001074419,0.003972289,0.004841884,0.2487949,0.2783243,0.03719608,0.1383246,0.00516439],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9131224,0.0007514652,0.08001513,0.000005646764,0.003994717,0.0001563385,0.00003030213,0.000095571,0.001828496],"genre_scores_gemma":[0.9878737,0.00007306698,0.01149168,6.324856e-7,0.0004944553,0.000002997529,0.000001793743,0.00002446335,0.00003717059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6367532,"threshold_uncertainty_score":0.5139063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00968378730160072,"score_gpt":0.2365233731777171,"score_spread":0.2268395858761164,"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."}}