{"id":"W2066299956","doi":"10.3991/ijes.v3i1.4286","title":"Interaction between Time Dependent Exposure Strategies and Part Positioning within Selective Laser Melting Process of Plastics","year":2015,"lang":"en","type":"article","venue":"International Journal of Recent Contributions from Engineering Science & IT (iJES)","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft; Canadian Institute for Theoretical Astrophysics","keywords":"Selective laser melting; Laser power scaling; Materials science; Rapid prototyping; Selective laser sintering; Laser; Porosity; Process (computing); Polymer; Mechanical engineering; Process engineering; Computer science; Composite material; Optics; Microstructure; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002150913,0.000268733,0.0002349187,0.00023557,0.0001814596,0.0006080944,0.0003522757,0.0003382091,0.001657514],"category_scores_gemma":[0.0007759387,0.000188011,0.0002643344,0.0001882589,0.0002382619,0.0004502982,0.0003049291,0.0002221961,0.0003496789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002620401,"about_ca_system_score_gemma":0.0001417686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002482308,"about_ca_topic_score_gemma":0.0003296152,"domain_scores_codex":[0.9998003,0.00003713686,0.000009266382,0.00004838767,0.00006269634,0.00004219345],"domain_scores_gemma":[0.9995655,0.000240738,0.0001013519,0.0000349134,0.00004411945,0.00001329214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005547308,0.00009952797,0.001866505,0.0002312846,0.00002681875,0.0002383832,0.0002086967,0.02721672,0.9259996,0.002059472,0.000143729,0.04135465],"study_design_scores_gemma":[0.00001401268,0.00109288,0.01040422,0.00001930884,0.00009148445,0.0002855248,0.000204661,0.09963413,0.8844404,0.0009528561,0.002816427,0.00004417587],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9301926,0.001887449,0.06381174,0.0000562837,0.000042619,0.00003571368,0.00003507449,0.000186472,0.003752032],"genre_scores_gemma":[0.9934866,0.0003683535,0.005085687,0.000008400848,0.000005226154,0.000007448988,0.00001541967,0.00002271379,0.001000078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001657514,"threshold_uncertainty_score":0.00554496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01427231296265844,"score_gpt":0.2670950581849749,"score_spread":0.2528227452223165,"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."}}