{"id":"W3162117683","doi":"10.14733/cadconfp.2021.66-72","title":"Island Scanning Path-Patten Optimization for Residual Distortion Control in Metal Additive Manufacturing","year":2021,"lang":"en","type":"article","venue":"","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Path (computing); Residual; Distortion (music); Materials science; Control (management); Computer science; Optoelectronics; Algorithm; Artificial intelligence","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":[0.0002145565,0.0005326374,0.0004765275,0.0002420897,0.0001920692,0.0003879438,0.0007172904,0.0004533868,0.002774548],"category_scores_gemma":[0.0005205215,0.000243653,0.0002603418,0.0003136239,0.0003436767,0.0004288297,0.0004765433,0.0004476197,0.0002754222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004409884,"about_ca_system_score_gemma":0.0005373225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002211894,"about_ca_topic_score_gemma":0.003288659,"domain_scores_codex":[0.9998953,0.00001832922,0.00000287331,0.00002002073,0.00004973774,0.00001369546],"domain_scores_gemma":[0.9998395,0.00007552878,0.00001530142,0.0000176691,0.00004520227,0.000006847143],"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":[0.0001623597,0.00004658627,0.0002902249,0.0001127351,0.00002807261,0.00004667508,0.00006203448,0.8978148,0.02197102,0.005854559,0.001224875,0.07238612],"study_design_scores_gemma":[0.000003444786,0.00003085271,0.00004899449,0.000002030335,0.000002815496,0.000008979762,0.000004126633,0.9963643,0.002667448,0.0005077526,0.0003570731,0.000002198502],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05614051,0.0003365743,0.9355196,0.00008838992,0.00003299836,0.00003044466,0.0000450337,0.0005664051,0.007240091],"genre_scores_gemma":[0.8126948,0.0001642744,0.1802433,0.00004199711,0.00001052606,0.00005177767,0.00009421274,0.0002122846,0.006486721],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002774548,"threshold_uncertainty_score":0.009281754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007058463420402798,"score_gpt":0.2030933196716939,"score_spread":0.1960348562512911,"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."}}