{"id":"W2522742539","doi":"10.1007/s00170-016-9340-7","title":"A comprehensive approach to determining minimum cutter lengths for five-axis milling","year":2016,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Fixture; Machining; Point cloud; Milling cutter; Collision; Engineering; Collision detection; Process (computing); Machine tool; Interference (communication); Cutter location; Minimum bounding box; Point (geometry); Cylinder; Algorithm; Geometry; Numerical control; Computer science; Mechanical engineering; Mathematics; Computer vision","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":[0.0009801274,0.001726597,0.001638355,0.002194436,0.001061439,0.00165385,0.002025376,0.001452465,0.003402944],"category_scores_gemma":[0.002692674,0.001162392,0.001225294,0.001478056,0.0006042176,0.001552501,0.001519058,0.001478492,0.001008328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009466152,"about_ca_system_score_gemma":0.002240337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002342109,"about_ca_topic_score_gemma":0.0060674,"domain_scores_codex":[0.9986601,0.0001364473,0.0000735463,0.0001599665,0.000898015,0.00007197846],"domain_scores_gemma":[0.9988633,0.0003927686,0.0001028556,0.0001146245,0.0004946465,0.00003179884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001066838,0.0001924612,0.001788887,0.0007389872,0.00009134865,0.0002021914,0.0002481859,0.5208525,0.07191017,0.020928,0.002529136,0.3804114],"study_design_scores_gemma":[0.00001717898,0.0001603733,0.001162873,0.00007270874,0.00004233983,0.0002223948,0.00008649755,0.9578226,0.025688,0.009399062,0.005273917,0.00005211445],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003302023,0.000151125,0.9949822,0.00001850396,0.000007325124,0.00004443682,0.00002972864,0.0002433918,0.001221279],"genre_scores_gemma":[0.08300374,0.0004025803,0.9141374,0.00003911597,0.00001794578,0.000174693,0.0002020613,0.0001397113,0.001882899],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003402944,"threshold_uncertainty_score":0.01138401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01220850889454675,"score_gpt":0.2608600258964546,"score_spread":0.2486515170019079,"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."}}