{"id":"W4319005247","doi":"10.3390/surgeries4010008","title":"Utilizing Additive Manufacturing to Produce Organ Mimics and Imaging Phantoms","year":2023,"lang":"en","type":"article","venue":"Surgeries","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Victoria","funders":"Biotalent Canada; Canada Research Chairs","keywords":"Flexibility (engineering); Workflow; 3D printing; Computer science; Process (computing); Systems engineering; Field (mathematics); Manufacturing engineering; Process engineering; Engineering; Mechanical engineering; Database","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001042349,0.00009787222,0.0001296153,0.0001420761,0.00006544111,0.00001716771,0.00005837994,0.00004054704,0.0000360013],"category_scores_gemma":[0.0001225561,0.00009715555,0.0000168881,0.00021475,0.000073417,0.00008914004,0.00006821313,0.0001172854,0.00005539381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001618197,"about_ca_system_score_gemma":0.000007835961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005399553,"about_ca_topic_score_gemma":0.000007238494,"domain_scores_codex":[0.9993852,0.000005945203,0.0001001339,0.0001528312,0.00007426216,0.000281673],"domain_scores_gemma":[0.9997285,0.00006726528,0.00000868992,0.0001064015,0.00001094147,0.00007822151],"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":[0.00001175984,0.000006889029,0.002401044,0.00016726,0.00005696251,0.0002310214,0.00252055,0.00004100778,0.00594211,0.001710071,0.01994094,0.9669704],"study_design_scores_gemma":[0.0001126144,0.00001004178,0.006573002,0.00009146937,0.000009465824,0.00003239869,0.003011265,0.00105219,0.5278254,0.00126902,0.4597076,0.0003055875],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995071,0.0004246565,0.000360494,0.0007612928,0.0004071835,0.00009334274,0.00001307117,0.00153701,0.001331942],"genre_scores_gemma":[0.9989532,0.0005547621,0.0001765067,0.00009051268,0.00005718422,0.00001826112,0.00000995518,0.00002407317,0.0001155873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9666648,"threshold_uncertainty_score":0.3961888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007053035608353032,"score_gpt":0.2149711922883652,"score_spread":0.2079181566800122,"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."}}