{"id":"W2797626293","doi":"10.1007/s13369-018-3233-z","title":"Weight Distribution Characteristics During the Process of Hole Enlargement When Drilling","year":2018,"lang":"en","type":"article","venue":"Arabian Journal for Science and Engineering","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Reamer; Drilling; Materials science; Torque; Weight distribution; Homogeneous; Composite material; Significant difference; Process (computing); Mechanical engineering; Computer science; Engineering; Metallurgy; Mathematics; Physics","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":[0.0006968094,0.0001349673,0.000145251,0.0001095855,0.0003819698,0.0001211538,0.0002505561,0.0000323505,0.000004026852],"category_scores_gemma":[0.000119306,0.0001056371,0.00004046721,0.0002849146,0.0001273145,0.0003403311,0.00002370742,0.0001604183,0.000001283286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007133532,"about_ca_system_score_gemma":0.00002682796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.771746e-7,"about_ca_topic_score_gemma":3.379452e-7,"domain_scores_codex":[0.9989485,0.000002647366,0.0002714438,0.0001287668,0.0002612298,0.0003874343],"domain_scores_gemma":[0.9994499,0.00002887773,0.00004855017,0.000126779,0.0002223026,0.0001235839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003843405,0.00003965654,0.003256316,0.001415669,0.0001738188,0.00001138746,0.007629773,0.6780636,0.2821483,0.00188316,0.0003861127,0.02495372],"study_design_scores_gemma":[0.000287888,0.0000732835,0.005625674,0.0002673419,0.00002462279,0.00007577601,0.0001451411,0.8986267,0.08912333,0.000136943,0.005358742,0.0002544996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8592047,0.0001926525,0.1391656,0.00005210428,0.001146418,0.00009914259,0.00001450877,0.00007505119,0.00004977766],"genre_scores_gemma":[0.9986239,0.000113671,0.0007625569,0.000005776591,0.0004479529,0.000007994947,0.000002063419,0.00002052205,0.00001556238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2205631,"threshold_uncertainty_score":0.4307757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005633039284696894,"score_gpt":0.2069347456711287,"score_spread":0.2013017063864319,"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."}}