{"id":"W3003609903","doi":"10.1109/icrai47710.2019.8967396","title":"Qualitative &amp; Quantitative Assessment of 3D Printing of Prostheses in Low Economic Setting","year":2019,"lang":"en","type":"article","venue":"","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005133921,0.0001261579,0.0003133958,0.000185955,0.000010767,0.000007943574,0.0001569671,0.00006067459,0.0001017578],"category_scores_gemma":[0.0001357375,0.000117771,0.00004288401,0.00007691321,0.00006593169,0.00009801314,0.00009231615,0.0001710995,0.00002429789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007255148,"about_ca_system_score_gemma":0.00002369877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008428327,"about_ca_topic_score_gemma":0.00004339284,"domain_scores_codex":[0.9991349,0.00005187572,0.0003950773,0.0001611785,0.00007889519,0.0001780733],"domain_scores_gemma":[0.999027,0.0005827323,0.000136946,0.0002124215,0.00002962194,0.0000112363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004501076,0.0002207137,0.2163388,0.004737912,0.0005141413,0.000003091182,0.04567579,0.4922261,0.05236076,0.1554075,0.0002042072,0.0322659],"study_design_scores_gemma":[0.001050536,0.0002367426,0.1526255,0.001506998,0.00001599086,0.000001891837,0.04149685,0.08895805,0.7077869,0.005227911,0.0003416247,0.0007510273],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809704,0.00001834067,0.005006171,0.00002217971,0.00006418188,0.0002130635,0.00001303278,0.000196343,0.01349631],"genre_scores_gemma":[0.9249989,0.000008124436,0.0748758,0.00000193355,0.000004199085,0.00001184645,0.000003823681,0.00001666062,0.00007867637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6554261,"threshold_uncertainty_score":0.4802563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02939157260924956,"score_gpt":0.3342013436808592,"score_spread":0.3048097710716096,"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."}}