{"id":"W819105919","doi":"10.15866/ireme.v8i1.1260","title":"On Real Time Prediction of Cutting Forces Using ANN","year":2014,"lang":"en","type":"article","venue":"International Review of Mechanical Engineering (IREME)","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Machining; Artificial neural network; Profitability index; Focus (optics); Computer science; Process (computing); Agile software development; Mechanical engineering; Industrial engineering; Manufacturing engineering; Engineering; Machine learning","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":[0.0003001509,0.0001262718,0.0002504534,0.00008210306,0.00001361225,0.000005710142,0.0001690369,0.00005199606,0.00005148711],"category_scores_gemma":[0.0005249718,0.0001243197,0.00008118301,0.0001239715,0.000006987816,0.0001249717,0.00002723134,0.0001072588,0.00000402567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005470465,"about_ca_system_score_gemma":0.000007612488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003805528,"about_ca_topic_score_gemma":7.19731e-8,"domain_scores_codex":[0.9989992,0.0000105684,0.0004617958,0.000126342,0.00029162,0.0001104701],"domain_scores_gemma":[0.9994422,0.0001372483,0.0001254804,0.0001252675,0.0001303571,0.000039483],"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":[0.000006349966,0.00001582188,0.000003344891,0.00248247,0.00004459623,2.515853e-7,0.00001306331,0.9603307,0.01530235,0.01337249,0.00005017488,0.008378447],"study_design_scores_gemma":[0.0001468946,0.00005107081,0.0000162741,0.005567862,0.00002648322,0.000002925749,0.000001222714,0.9876184,0.004967996,0.00027717,0.001235106,0.00008854472],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00966143,0.001285871,0.9844937,0.00004340591,0.0006831696,0.0001685057,0.00002776983,0.0002332879,0.00340288],"genre_scores_gemma":[0.9374962,0.007778057,0.05424156,0.00006327539,0.0002390306,0.00001227793,0.00006238169,0.00006743543,0.00003982204],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9302521,"threshold_uncertainty_score":0.5069609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008843206970762026,"score_gpt":0.2490612105805405,"score_spread":0.2402180036097785,"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."}}