{"id":"W10153868","doi":"","title":"محاسبه نیروهای برشی ابزارهای فرز انگشتی و فرز خشن تراش با استفاده از درونیابی لبه برنده توسط منحنی های B-spline بخش اول: تعریف هندسی لبه برنده توسط منحنی های B-spline","year":2009,"lang":"fa","type":"article","venue":"The Canadian Journal of Hospital Pharmacy","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"B-spline; Mathematics; Spline (mechanical); Engineering; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006960287,0.0003995171,0.0003055315,0.0005043545,0.0005930445,0.001056317,0.0003635147,0.0004084062,0.02121521],"category_scores_gemma":[0.002146329,0.0002910369,0.0002755572,0.0007946956,0.0006941695,0.0006849383,0.0006905115,0.0009809836,0.005456717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004344704,"about_ca_system_score_gemma":0.001160111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004360792,"about_ca_topic_score_gemma":0.003081396,"domain_scores_codex":[0.9994211,0.0000865591,0.00003547297,0.00008892256,0.0002969804,0.00007084644],"domain_scores_gemma":[0.9993497,0.0001614428,0.00006587531,0.0000528943,0.000335428,0.00003466105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001162414,0.0002806273,0.003564203,0.0006138216,0.00005569512,0.001005629,0.001324833,0.05827099,0.1842025,0.1704369,0.009051184,0.5700312],"study_design_scores_gemma":[0.0001794714,0.000945112,0.02055566,0.0002328717,0.000113808,0.002124907,0.004900238,0.2638275,0.263092,0.1350118,0.3086566,0.0003599356],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1980778,0.0006920406,0.6596606,0.0006930762,0.0005109705,0.0002159512,0.0004904769,0.0008482484,0.1388108],"genre_scores_gemma":[0.5576466,0.001298848,0.2831952,0.0001570827,0.0001168208,0.000316831,0.0006857726,0.0006270706,0.1559559],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02121521,"threshold_uncertainty_score":0.07097191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01187943441698887,"score_gpt":0.2423245654073587,"score_spread":0.2304451309903699,"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."}}