{"id":"W2035710746","doi":"10.1177/0892705705041157","title":"Effect of Friction on Cut Resistance of Polymers","year":2004,"lang":"en","type":"article","venue":"Journal of Thermoplastic Composite Materials","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut de recherche Robert-Sauvé en santé et en sécurité du travail; École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Materials science; Composite material; Dissipation; Normal force; Coefficient of friction; Enhanced Data Rates for GSM Evolution; Microstructure; Elasticity (physics); Friction coefficient; Work (physics); Mechanics; Mechanical engineering; 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":[0.0002815295,0.0002974961,0.0004426411,0.0005028441,0.000261501,0.0003848528,0.0002114075,0.0002595462,0.001567623],"category_scores_gemma":[0.001281026,0.0001745545,0.0003532577,0.0003100218,0.0002786902,0.0004774366,0.0002527442,0.000321615,0.0002052471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002269776,"about_ca_system_score_gemma":0.00009144628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003661732,"about_ca_topic_score_gemma":0.0003593354,"domain_scores_codex":[0.9995074,0.00004329842,0.00002099497,0.00008740584,0.0002208203,0.0001200684],"domain_scores_gemma":[0.9992718,0.0004368485,0.0001314809,0.00004432321,0.00008422096,0.00003129652],"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":[0.001595548,0.00009706587,0.003264803,0.0004040857,0.00005333323,0.0004781032,0.0002079855,0.01303294,0.9593989,0.0005783223,0.0001522994,0.02073666],"study_design_scores_gemma":[0.00001949581,0.001149791,0.01362206,0.00002469489,0.0000564622,0.0003206009,0.00005874366,0.01860948,0.9640371,0.0002308821,0.001842019,0.00002873912],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942625,0.002218192,0.002071756,0.00002055376,0.000014621,0.00001075853,0.00005458155,0.00002543454,0.001321507],"genre_scores_gemma":[0.9986544,0.0003781915,0.0004264038,0.000005345275,0.000003108418,0.000004166348,0.0000470845,0.00001136934,0.000469963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001567623,"threshold_uncertainty_score":0.005244255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003049204872415722,"score_gpt":0.2160648320072122,"score_spread":0.2130156271347965,"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."}}