{"id":"W4390693758","doi":"10.33137/cpoj.v6i2.42176","title":"3D PRINTED COSMETIC COVERS FOR LOWER LIMB PROSTHETICS","year":2024,"lang":"en","type":"article","venue":"Canadian Prosthetics & Orthotics Journal","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cover (algebra); Computer science; Engineering; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00119857,0.001074409,0.0003951423,0.001832915,0.0002787853,0.001739588,0.0008047528,0.0013229,0.01746942],"category_scores_gemma":[0.003144237,0.0004178867,0.001354115,0.0007042808,0.0004892379,0.0009712203,0.001131864,0.0009630889,0.005615698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003757802,"about_ca_system_score_gemma":0.0003388734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002634565,"about_ca_topic_score_gemma":0.0005140221,"domain_scores_codex":[0.9981551,0.0003929985,0.000130606,0.00008121894,0.001176254,0.00006385073],"domain_scores_gemma":[0.9986853,0.0006571648,0.0001205047,0.0002092421,0.0002719141,0.00005590151],"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":[0.0005880917,0.0003024405,0.002351038,0.002726336,0.0001243423,0.002089838,0.0004989773,0.009351725,0.1272078,0.005620506,0.02267135,0.8264676],"study_design_scores_gemma":[0.0003324389,0.005219152,0.04680903,0.003363004,0.0006700028,0.0466657,0.0009898506,0.07966866,0.1731533,0.01833808,0.6241896,0.0006012761],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1965404,0.02571725,0.6356571,0.002996863,0.006389578,0.001174768,0.00237933,0.006885885,0.122259],"genre_scores_gemma":[0.6731409,0.01018427,0.2635818,0.001523998,0.0009109323,0.0005923664,0.001459293,0.001269189,0.0473372],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01746942,"threshold_uncertainty_score":0.0584411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01105485593788407,"score_gpt":0.2190773887045205,"score_spread":0.2080225327666364,"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."}}