{"id":"W2084224347","doi":"10.1016/j.tripleo.2008.12.032","title":"The Effects of Slice Thickness and Interslice Interval on Bone Height Measurements in Cone Beam CT Studies","year":2009,"lang":"en","type":"article","venue":"Oral Surgery Oral Medicine Oral Pathology Oral Radiology and Endodontology","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Cone beam computed tomography; Interval (graph theory); Beam (structure); Cone beam ct; Orthodontics; Dentistry; Radiology; Computed tomography; Mathematics; Optics; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002168116,0.0004844315,0.002107594,0.0004086677,0.0001612283,0.000009065,0.0002072219,0.0002644273,0.00003676035],"category_scores_gemma":[0.002926922,0.0003150207,0.0001440962,0.0003640722,0.002216771,0.0001223693,0.00007380735,0.000785875,0.000005925716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000589372,"about_ca_system_score_gemma":0.00002232443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001379239,"about_ca_topic_score_gemma":0.0002795128,"domain_scores_codex":[0.9964679,0.001046083,0.0009236976,0.0005540625,0.0002086003,0.0007996882],"domain_scores_gemma":[0.9961443,0.003033787,0.0001923158,0.0003230648,0.00009162197,0.0002149179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001155491,0.0003802818,0.4431146,0.0007536214,0.001879368,0.003482955,0.002142987,0.00009723176,0.02360965,0.001026785,0.05433055,0.4680264],"study_design_scores_gemma":[0.02388234,0.01278238,0.8647804,0.005029264,0.003392477,0.02219326,0.005100672,0.004622598,0.008593018,0.01454987,0.03071227,0.004361478],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9677672,0.02496036,0.0001276897,0.005260995,0.001378958,0.0002252988,0.000006682585,0.0001100194,0.0001628217],"genre_scores_gemma":[0.992919,0.004654213,0.000160803,0.001996883,0.0001063863,0.00003955821,0.00002830159,0.00002343479,0.00007140524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4636649,"threshold_uncertainty_score":0.9999302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03787602627611912,"score_gpt":0.2932642209886118,"score_spread":0.2553881947124927,"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."}}