{"id":"W4386834307","doi":"10.7759/cureus.45440","title":"Hybrid Navigation Technique for Improved Precision in Implantology","year":2023,"lang":"en","type":"article","venue":"Cureus","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"DICOM; Medicine; Cone beam computed tomography; Navigation system; Protocol (science); Tessellation (computer graphics); Dental implant; Software; Implant; Computer vision; Orthodontics; Computed tomography; Computer science; Artificial intelligence; Computer graphics (images); Radiology; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002847297,0.000115828,0.0001920827,0.0001231962,0.00004731368,0.00002862243,0.0002060291,0.0001242931,0.00002700877],"category_scores_gemma":[0.00007765554,0.0001084358,0.00007744501,0.0001683812,0.00001867547,0.0001263641,0.00009233149,0.0001096047,0.0001329218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007070214,"about_ca_system_score_gemma":0.00001716678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002003231,"about_ca_topic_score_gemma":0.0001924161,"domain_scores_codex":[0.999096,0.00002643624,0.0002732521,0.0002465224,0.00007533842,0.0002824933],"domain_scores_gemma":[0.9994853,0.0001466466,0.00007226932,0.0002341264,0.00003036254,0.00003135052],"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":[0.0003970487,0.0001912114,0.01045677,0.0002502796,0.00004880792,0.001516839,0.0001655829,0.000004500333,0.6972194,0.005895438,0.2359681,0.04788611],"study_design_scores_gemma":[0.002828034,0.0005918343,0.05505296,0.0002937859,0.00004878207,0.008856263,0.0001871923,0.003324931,0.7316554,0.07607716,0.1201018,0.0009818734],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9675098,0.000118945,0.02468032,0.0001368555,0.002173336,0.002461421,0.0005855251,0.0009843006,0.001349479],"genre_scores_gemma":[0.993108,0.00005481215,0.003282382,0.00009350396,0.00009629434,0.0006802856,0.0008702059,0.00003593874,0.001778589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1158663,"threshold_uncertainty_score":0.4421884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02983884992484353,"score_gpt":0.3479965066897375,"score_spread":0.318157656764894,"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."}}