{"id":"W2086707973","doi":"10.1145/2818710","title":"From 3D Sensing to Printing","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Multimedia Computing Communications and Applications","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Pipeline (software); 3D printing; Process (computing); Computer science; Systems engineering; Software; Emerging technologies; Data science; Engineering; Artificial intelligence; Mechanical engineering","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":[0.001895491,0.001145049,0.0009628769,0.00236384,0.0009456992,0.00510534,0.002064559,0.00210501,0.01010742],"category_scores_gemma":[0.003611295,0.001076983,0.001059611,0.002376817,0.002364931,0.005321601,0.003871161,0.002767338,0.004743365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001279929,"about_ca_system_score_gemma":0.001052327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001379406,"about_ca_topic_score_gemma":0.001217209,"domain_scores_codex":[0.997225,0.0003001707,0.0001141309,0.0003629569,0.001849932,0.0001477247],"domain_scores_gemma":[0.9967074,0.001316724,0.0001776736,0.0008418862,0.0008340665,0.0001221948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003303589,0.0001690907,0.001879055,0.002101808,0.00009262541,0.0006435919,0.001002944,0.01282221,0.168989,0.1436895,0.02900186,0.6392779],"study_design_scores_gemma":[0.00003882912,0.000437016,0.002009565,0.0006810445,0.00008277284,0.002085249,0.0005367725,0.04475639,0.3880923,0.07971542,0.4812372,0.000327476],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03491272,0.03950945,0.7941776,0.005724803,0.002272806,0.0002691182,0.000904162,0.007336393,0.114893],"genre_scores_gemma":[0.2758755,0.05350379,0.6291803,0.00452283,0.001114204,0.0003089149,0.00114985,0.001640027,0.03270459],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01010742,"threshold_uncertainty_score":0.0338127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0387864669674036,"score_gpt":0.3142582660074021,"score_spread":0.2754717990399985,"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."}}