{"id":"W4392928775","doi":"10.14733/cadaps.2024.1103-1115","title":"Improved Collision-Free Multi-Axis Tool-Path for Additive Manufacturing","year":2024,"lang":"en","type":"article","venue":"Computer-Aided Design and Applications","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Collision; Path (computing); Tool path; Computer science; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001350408,0.0002218429,0.0001849423,0.0001344363,0.0002001847,0.0001805644,0.0002977096,0.0001146459,0.000007356311],"category_scores_gemma":[0.00003008907,0.0002107828,0.0000736084,0.0001137929,0.00007137322,0.0001070525,0.0001549863,0.0001903147,0.000019172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004739565,"about_ca_system_score_gemma":0.00001604793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002713494,"about_ca_topic_score_gemma":6.468622e-7,"domain_scores_codex":[0.9990582,0.00001393621,0.0002152377,0.0003875728,0.00006388942,0.00026113],"domain_scores_gemma":[0.9986957,0.0007815,0.0000247812,0.0004089594,0.00003303168,0.00005606107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008228704,0.00004271354,0.000001219982,0.0003068604,0.000140126,0.000004753403,0.0001504606,0.006377747,0.002136045,0.008286924,0.02970031,0.9528446],"study_design_scores_gemma":[0.0003952766,0.00007134154,0.0002255743,0.0001119942,0.00003526223,0.0000101604,0.00003403755,0.7255407,0.1484309,0.01166902,0.1130897,0.0003860365],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003817196,0.0005100285,0.9915882,0.0001183429,0.0001715173,0.00106669,0.0001934164,0.002470454,0.00006416452],"genre_scores_gemma":[0.3901449,0.0002199728,0.6069709,0.00006100908,0.0003433129,0.001922188,0.00007196231,0.00007376793,0.0001919711],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9524586,"threshold_uncertainty_score":0.8595473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0213717960660173,"score_gpt":0.2403130267323611,"score_spread":0.2189412306663438,"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."}}