{"id":"W2585452955","doi":"10.1111/cid.12474","title":"Characteristics of intrabony nerve canals in mandibular interforaminal region by using cone‐beam computed tomography and a recommendation of safe zone for implant and bone harvesting","year":2017,"lang":"en","type":"article","venue":"Clinical Implant Dentistry and Related Research","topic":"Dental Radiography and Imaging","field":"Dentistry","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cone beam computed tomography; Chin; Mandibular canal; Mandible (arthropod mouthpart); Medicine; Mental foramen; Implant; Dentistry; Dental implant; Inferior alveolar nerve; Orthodontics; Computed tomography; Radiography; Anatomy; Molar; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00247117,0.0001681967,0.0006071502,0.0003343027,0.0003965076,0.0002189223,0.0001920137,0.0002907879,0.000006914991],"category_scores_gemma":[0.000546017,0.0001598528,0.0001004757,0.0002008015,0.00106957,0.0003053122,0.0002690827,0.0007075702,6.195012e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001445242,"about_ca_system_score_gemma":0.00003421829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007040251,"about_ca_topic_score_gemma":0.00009047452,"domain_scores_codex":[0.9975033,0.0003043397,0.001168817,0.0004464902,0.0001894605,0.0003876401],"domain_scores_gemma":[0.997762,0.0009552587,0.0006491713,0.0002614162,0.0001743851,0.0001977683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002570113,0.0007265363,0.8242631,0.002304669,0.0007422201,0.006463119,0.000264953,0.000001203653,0.05069355,0.0002798701,0.003357059,0.1083336],"study_design_scores_gemma":[0.006819148,0.0009781823,0.9225443,0.00285542,0.0002574926,0.04550833,0.0004724668,0.01193759,0.006928863,0.0005842256,0.0006419034,0.0004720881],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966006,0.0006860315,0.0007391932,0.0001034691,0.0009366229,0.0003844087,0.0005140179,0.000009075664,0.00002654808],"genre_scores_gemma":[0.9985694,0.0007016617,0.0002715283,0.000008904295,0.0000445439,0.00000577417,0.0002673432,0.00001637821,0.0001145044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1078615,"threshold_uncertainty_score":0.6518609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1074070638387889,"score_gpt":0.4221483505109349,"score_spread":0.314741286672146,"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."}}