{"id":"W4254792448","doi":"10.22215/etd/2018-13373","title":"Design Optimization of Dental Implants Using Additively Manufactured Lattice Materials","year":2018,"lang":"en","type":"dissertation","venue":"","topic":"Cellular and Composite Structures","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Biocompatible material; Materials science; Implant; Dental implant; Dentistry; Biomedical engineering; Dental prosthesis; Prosthesis; Bone resorption; Resorption; Medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004051323,0.0002250955,0.0002699027,0.0001167876,0.00003855987,0.00003886812,0.0001182542,0.0002266729,0.002232873],"category_scores_gemma":[0.000003438549,0.000218591,0.0000459255,0.00005487015,0.00001064693,0.00007049996,0.000008492574,0.00006430376,0.000009247072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003598531,"about_ca_system_score_gemma":0.00001798867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003830584,"about_ca_topic_score_gemma":0.00001907831,"domain_scores_codex":[0.9992706,0.00002583753,0.000267209,0.0001465668,0.0001429477,0.0001469083],"domain_scores_gemma":[0.9996852,0.00001871353,0.00009202978,0.0001189586,0.00005406618,0.00003103766],"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":[0.0001622395,0.00001033346,0.000002646962,0.0004009555,0.0002333103,0.000007589676,0.0004618802,0.1819313,0.8153061,0.00001814603,0.0006725267,0.000792939],"study_design_scores_gemma":[0.0001415018,0.00001997096,0.0002126018,0.00008665475,0.0001025669,0.00001569201,0.000139168,0.02190214,0.9770913,0.00003431211,0.00002425798,0.0002298683],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8545312,0.0001597194,0.1380576,2.054914e-7,0.001964252,0.0003737794,0.0002535065,0.0001670215,0.004492683],"genre_scores_gemma":[0.9391769,0.00004101514,0.05549736,0.000005134714,0.0002063327,0.000006282427,0.004458236,0.00009197381,0.000516755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1617852,"threshold_uncertainty_score":0.9986792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01207189284834933,"score_gpt":0.2327163102199334,"score_spread":0.2206444173715841,"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."}}