{"id":"W1472455050","doi":"10.3233/978-1-61499-375-9-439","title":"Design and Validation of 3D Printed Complex Bone Models with Internal Anatomic Fidelity for Surgical Training and Rehearsal","year":2014,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"3d printed; Computer science; Rendering (computer graphics); Cadaveric spasm; 3d model; Surgical simulation; Fidelity; Engineering drawing; Biomedical engineering; Artificial intelligence; Medicine; Engineering; Surgery","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":[0.002850755,0.0008089241,0.0003637617,0.0008473251,0.0002371349,0.000990438,0.001552803,0.00107414,0.002830704],"category_scores_gemma":[0.008571685,0.0007251425,0.0007765734,0.0004032458,0.001142602,0.0006167935,0.0009789966,0.0007628153,0.0007602079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004126075,"about_ca_system_score_gemma":0.0009694485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004710293,"about_ca_topic_score_gemma":0.0008095996,"domain_scores_codex":[0.9977569,0.000342161,0.0001728237,0.0001711496,0.001461228,0.00009581279],"domain_scores_gemma":[0.9941613,0.002052447,0.0005185157,0.001523491,0.001486562,0.0002577188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005216213,0.0009622912,0.00549831,0.0008955788,0.0001111498,0.0008953332,0.001216988,0.2991124,0.5270848,0.005127565,0.00192016,0.1566538],"study_design_scores_gemma":[0.0001711995,0.004256425,0.009657695,0.0001459099,0.0001514348,0.001753341,0.0002917492,0.3987865,0.5660772,0.002154805,0.01631419,0.0002395805],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2962999,0.0002131613,0.696877,0.0001673866,0.000216721,0.001256842,0.0004728204,0.001484206,0.003011872],"genre_scores_gemma":[0.5671655,0.000210198,0.4290441,0.0000626344,0.00001765376,0.0008049123,0.0003687303,0.0002832509,0.002043046],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002850755,"threshold_uncertainty_score":0.0150764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06710158933893973,"score_gpt":0.3290253544096723,"score_spread":0.2619237650707326,"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."}}