{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001238663,0.0001624053,0.0001708611,0.000107372,0.0005789926,0.00007553344,0.0006293422,0.00005137084,0.000009566793],"category_scores_gemma":[0.00004679784,0.0001720636,0.00004289113,0.0004012414,0.0001787526,0.00007386249,0.0001566365,0.0003592115,0.00009993082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004119869,"about_ca_system_score_gemma":0.00003177791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003632485,"about_ca_topic_score_gemma":0.00001497607,"domain_scores_codex":[0.9990185,0.00004695615,0.0002733839,0.0003237198,0.0001166288,0.000220836],"domain_scores_gemma":[0.9968718,0.0008214217,0.0000829836,0.00189154,0.0001432981,0.0001889497],"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":[0.00000304138,0.000119901,0.0002649062,9.662082e-7,0.00003006923,8.145452e-8,0.0005682374,0.0021767,0.0006073682,0.001674691,0.00002466195,0.9945294],"study_design_scores_gemma":[0.002106804,0.0001749722,0.001757463,0.0002628898,0.0002457791,0.000007322377,0.0104956,0.7137364,0.008692275,0.1235773,0.1373269,0.001616238],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02057049,0.00003534875,0.9742625,0.003077985,0.00004757491,0.0004288289,0.0000375446,0.0003416708,0.001198022],"genre_scores_gemma":[0.5115807,0.000004026235,0.4882105,0.00006064054,0.00006185981,0.00002527081,0.00002347526,0.00001321071,0.0000203038],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9929131,"threshold_uncertainty_score":0.701655,"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."}}