{"id":"W4400381330","doi":"10.1016/j.eswa.2024.124656","title":"Accurate synthesis of sensor-to-machined-surface image generation in carbon fiber-reinforced plastic drilling","year":2024,"lang":"en","type":"article","venue":"Expert Systems with Applications","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Delamination (geology); Drilling; Durability; Fibre-reinforced plastic; Computer science; Materials science; Machining; Mechanical engineering; Composite material; Geology; 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":[0.00007502746,0.0001575584,0.0001921735,0.0001263482,0.00004051801,0.00006253654,0.00008769981,0.00005608741,0.000006069387],"category_scores_gemma":[0.00002730093,0.0001403256,0.00002035598,0.0005158132,0.00001403271,0.0001449081,0.00001132514,0.00009129117,0.00001875527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008065773,"about_ca_system_score_gemma":0.00002435337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001033641,"about_ca_topic_score_gemma":0.00001470283,"domain_scores_codex":[0.9991519,0.00001328862,0.0003244632,0.0002224848,0.0001281489,0.000159715],"domain_scores_gemma":[0.999472,0.0001617227,0.0000416746,0.0002099984,0.00005844608,0.00005615864],"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":[0.0000044781,0.000003856703,0.000006221261,0.0002298909,0.00001649987,8.476035e-7,0.0004758703,0.9718673,0.02644622,0.0004359263,0.00004189039,0.0004709552],"study_design_scores_gemma":[0.00007211859,0.00001318312,0.000006571383,0.000227992,0.00001056709,0.000004287548,0.0001505023,0.9836632,0.01347168,0.000002588456,0.00220863,0.0001686698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02314874,0.001115152,0.9728632,0.00004097444,0.0001379883,0.0006830686,0.00002321015,0.0003641991,0.001623485],"genre_scores_gemma":[0.9804801,0.00008216481,0.01830969,0.000004699327,0.0001264348,0.0007393199,0.00003490827,0.00005727624,0.0001653916],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9573314,"threshold_uncertainty_score":0.5722311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00873153816691692,"score_gpt":0.2435876691083227,"score_spread":0.2348561309414058,"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."}}