{"id":"W4403160267","doi":"10.48550/arxiv.2409.02665","title":"Cutting Mechanics of Soft Compressible Solids: Force-radius scaling versus bulk modulus","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Elasticity and Material Modeling","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Compressibility; Scaling; Bulk modulus; RADIUS; Modulus; Materials science; Mechanics; Physics; Classical mechanics; Composite material; Mathematics; Geometry; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001501996,0.0003772524,0.0004922632,0.0002664534,0.00008915673,0.00007153484,0.0005116509,0.0004159131,0.00003536995],"category_scores_gemma":[0.00003195817,0.0004802174,0.0002289547,0.0002499502,0.00004268099,0.0001129574,0.001033261,0.0007366785,0.00004935814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002080326,"about_ca_system_score_gemma":0.00007061666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001236817,"about_ca_topic_score_gemma":0.00002087135,"domain_scores_codex":[0.9985527,0.00003139381,0.000334045,0.0005648003,0.00009756734,0.0004194359],"domain_scores_gemma":[0.9990864,0.00009722608,0.0001122054,0.0004832423,0.00009270323,0.0001282507],"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":[0.00007461643,0.00001656883,0.00000289794,0.00134583,0.0002261416,0.00007100583,0.0001967015,0.9646634,0.003342006,0.02985842,0.00003759103,0.0001648435],"study_design_scores_gemma":[0.0004631406,0.00002899793,8.299647e-7,0.0007788204,0.0002998434,0.000001886488,0.0001038904,0.9498838,0.006407658,0.04156113,0.00005920928,0.0004108209],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5766204,0.0003610114,0.41543,0.00000548737,0.00421447,0.0002032773,0.00007428333,0.0006348529,0.002456176],"genre_scores_gemma":[0.9983358,0.0002030942,0.0009262774,0.000005568558,0.0002060386,0.00000123363,0.0000263897,0.00008589703,0.0002096436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4217155,"threshold_uncertainty_score":0.999765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06078371694482515,"score_gpt":0.1835878281300664,"score_spread":0.1228041111852413,"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."}}