{"id":"W4296598285","doi":"10.1177/09544089221126087","title":"Effect of milling parameters on the surface quality of a flax fiber-reinforced polymer composite","year":2022,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering","topic":"Natural Fiber Reinforced Composites","field":"Materials Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Materials science; Composite material; Composite number; Delamination (geology); Fiber; Surface roughness; Machining; Epoxy; Factorial experiment; Response surface methodology; Fiber-reinforced composite; Surface finish; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004754286,0.0004255666,0.0003575007,0.0003179701,0.0001949685,0.0005472622,0.000151737,0.0003798119,0.001129081],"category_scores_gemma":[0.001340458,0.0002844583,0.0002514964,0.0003270379,0.0002384864,0.0003266462,0.0001580751,0.0004883087,0.0001872998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001712396,"about_ca_system_score_gemma":0.0001023453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003405611,"about_ca_topic_score_gemma":0.0007339848,"domain_scores_codex":[0.9996803,0.0000463522,0.00003942491,0.00006398818,0.0001182657,0.00005167373],"domain_scores_gemma":[0.9979336,0.001108413,0.0004303524,0.000156364,0.0002778085,0.00009347041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006324005,0.00007849449,0.001540719,0.00008107566,0.00001435494,0.00006951343,0.00006317299,0.0008311507,0.9920195,0.00001366957,0.00002566983,0.004630243],"study_design_scores_gemma":[0.00001347769,0.00139551,0.01774269,0.00000464438,0.00002893929,0.00005720621,0.00008309646,0.001888879,0.9785182,0.00001432623,0.0002400798,0.00001292985],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998667,0.0002398663,0.000737428,0.000007420028,0.000007087739,0.000009075235,0.00004090418,0.00002386388,0.0002672862],"genre_scores_gemma":[0.998406,0.00010707,0.001148915,0.000008054778,0.000002736539,0.000005462656,0.00004472707,0.00001394991,0.0002631856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001129081,"threshold_uncertainty_score":0.003777206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01451122948177018,"score_gpt":0.2516311932688022,"score_spread":0.237119963787032,"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."}}