{"id":"W2346459632","doi":"10.1117/12.2214246","title":"Optical design and initial results from NIST's AMMT/TEMPS facility","year":2016,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"NIST; Computer science","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":[0.003518075,0.0005647224,0.0004156701,0.00115057,0.001417781,0.001210236,0.001050413,0.001033621,0.008312197],"category_scores_gemma":[0.001528102,0.0003167958,0.0005341432,0.001013025,0.0005922285,0.001132829,0.0007578517,0.0007555093,0.002288343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003404306,"about_ca_system_score_gemma":0.002389937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00478055,"about_ca_topic_score_gemma":0.007046852,"domain_scores_codex":[0.9975888,0.0002160613,0.00004843245,0.0002679342,0.001652785,0.0002260369],"domain_scores_gemma":[0.9980128,0.0002016925,0.0001123608,0.0002391712,0.001262228,0.0001718091],"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":[0.001875181,0.001058082,0.01200423,0.0007419726,0.0001152053,0.0004160418,0.0006296188,0.01274972,0.7751268,0.02054113,0.05365299,0.121089],"study_design_scores_gemma":[0.0004928719,0.004118859,0.02967881,0.0001008699,0.0001438492,0.0006726033,0.0002865477,0.04732314,0.7245685,0.002716712,0.189671,0.000226307],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5260857,0.002271296,0.2160259,0.005080629,0.0007244809,0.002534136,0.01389551,0.01596664,0.2174156],"genre_scores_gemma":[0.7152912,0.0007214861,0.2345749,0.0009786776,0.0001795229,0.001173271,0.01055245,0.001140989,0.0353876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008312197,"threshold_uncertainty_score":0.02780706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01925133193343329,"score_gpt":0.2263689488271591,"score_spread":0.2071176168937258,"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."}}