{"id":"W4411432714","doi":"10.4103/jpbs.jpbs_1816_24","title":"Outcomes of Using 3D-Printed Titanium Implants in Mandibular Reconstruction","year":2025,"lang":"en","type":"article","venue":"Journal of Pharmacy And Bioallied Sciences","topic":"Reconstructive Surgery and Microvascular Techniques","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dartmouth General Hospital","funders":"","keywords":"Titanium; Dentistry; Orthodontics; Medicine; Materials science; Metallurgy","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":[0.0008596175,0.0004474091,0.0003272609,0.0007121154,0.000186939,0.0004827669,0.0002874287,0.0004367293,0.002150227],"category_scores_gemma":[0.001471448,0.0001939687,0.0009211804,0.000391869,0.0004423026,0.0002693176,0.0005732111,0.0002969067,0.0003958621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002407326,"about_ca_system_score_gemma":0.000169072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002232571,"about_ca_topic_score_gemma":0.0003425597,"domain_scores_codex":[0.9993402,0.0001057441,0.0001230887,0.00005149684,0.0002929698,0.00008651587],"domain_scores_gemma":[0.9991835,0.0002670016,0.0003210152,0.00007059115,0.00009377385,0.00006411584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01174612,0.00552256,0.5362996,0.0007515076,0.0005485918,0.007229106,0.002045408,0.005174856,0.1097614,0.000191417,0.0005535624,0.3201757],"study_design_scores_gemma":[0.0004355017,0.04456908,0.8436442,0.0001449247,0.0007583168,0.03464353,0.002094124,0.00677246,0.06387345,0.0002647445,0.002687122,0.0001125213],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991783,0.0002428444,0.0002578826,0.00001111948,0.000007353063,0.00001531147,0.00003655809,0.000007140991,0.0002433231],"genre_scores_gemma":[0.9990459,0.0001472913,0.0005041099,0.00002098694,0.00000634947,0.00001256249,0.00008612919,0.000002976544,0.0001738027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002150227,"threshold_uncertainty_score":0.007193267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03926601204473298,"score_gpt":0.3700196073575637,"score_spread":0.3307535953128308,"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."}}