{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001381631,0.0005039393,0.0005462981,0.001175154,0.000308036,0.0006219658,0.0005584411,0.0004469838,0.003270888],"category_scores_gemma":[0.001483362,0.0004018437,0.0005547323,0.0009315104,0.000469146,0.0007589632,0.001140946,0.0006283101,0.0005748437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002502507,"about_ca_system_score_gemma":0.0008477467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001114427,"about_ca_topic_score_gemma":0.002523568,"domain_scores_codex":[0.999071,0.0001670855,0.00009541769,0.0002214399,0.0003819409,0.00006311345],"domain_scores_gemma":[0.9992875,0.0002826586,0.00009923452,0.0001610831,0.0001342341,0.000035248],"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":[0.0007983176,0.0001886794,0.009609467,0.0006136431,0.00008766403,0.0006898076,0.0005694404,0.002605262,0.3174293,0.00393934,0.002315657,0.6611534],"study_design_scores_gemma":[0.0007319961,0.01363901,0.1660266,0.0005881014,0.001259091,0.1377152,0.000730214,0.05289911,0.3927089,0.007260596,0.2257277,0.0007133667],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2255491,0.00682548,0.7539924,0.0002695702,0.0003494637,0.0002941147,0.0002315162,0.001599936,0.01088835],"genre_scores_gemma":[0.4891351,0.001635045,0.50175,0.0002223401,0.0001263467,0.0003272775,0.0002731584,0.0002520618,0.006278628],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003270888,"threshold_uncertainty_score":0.01094222,"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."}}