{"id":"W2050950112","doi":"10.1016/s0890-6955(02)00276-6","title":"Mechanics of boring processes—Part I","year":2003,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":87,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Engineering; Mechanical engineering; Mechanics; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002008151,0.0004484755,0.0005763107,0.0004541459,0.0003732893,0.0009920057,0.0007221547,0.0004553137,0.01472825],"category_scores_gemma":[0.0005500619,0.0003638094,0.0005667612,0.0005727982,0.0008865763,0.0008729671,0.0005783963,0.0005578577,0.001386151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002106783,"about_ca_system_score_gemma":0.0002671823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000656742,"about_ca_topic_score_gemma":0.000506734,"domain_scores_codex":[0.9998616,0.00002367762,0.00000913343,0.00002994642,0.00005391991,0.00002169182],"domain_scores_gemma":[0.9998724,0.00005250057,0.0000278884,0.00001776965,0.00002083918,0.000008527581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001810521,0.0003035742,0.002632745,0.001876214,0.00008796,0.0003886872,0.0005652468,0.2984344,0.0818603,0.4400189,0.01410404,0.1595469],"study_design_scores_gemma":[0.00008869276,0.0005567141,0.0226736,0.0002678916,0.00006364304,0.0008502661,0.0005248209,0.5387632,0.02073186,0.2941243,0.1212536,0.0001013701],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2296346,0.09862168,0.4401087,0.003183546,0.003226192,0.0003929744,0.0009180072,0.0004887083,0.2234255],"genre_scores_gemma":[0.8402909,0.03007755,0.01901323,0.0004121169,0.001600435,0.0002232192,0.0006793279,0.0003221314,0.1073812],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01472825,"threshold_uncertainty_score":0.04927093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008198708812425374,"score_gpt":0.2318693695322065,"score_spread":0.2236706607197812,"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."}}