{"id":"W2135967823","doi":"10.1111/cid.12247","title":"Sinus Width Analysis and New Classification with Clinical Implications for Augmentation","year":2014,"lang":"en","type":"article","venue":"Clinical Implant Dentistry and Related Research","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Maxillary sinus; Medicine; Cone beam computed tomography; Molar; Sinus (botany); Percentile; Dentistry; Orthodontics; Sinus lift; Nuclear medicine; Computed tomography; Radiology; Mathematics; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00299876,0.0006774786,0.0004521404,0.00281979,0.0003762096,0.001174535,0.0005001561,0.0005536584,0.001691752],"category_scores_gemma":[0.009366127,0.0002056949,0.0005082876,0.001246473,0.0007628691,0.001262869,0.0008600709,0.0006521117,0.0005138122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004001676,"about_ca_system_score_gemma":0.0007733532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005433811,"about_ca_topic_score_gemma":0.0009164307,"domain_scores_codex":[0.9987257,0.0002719554,0.0002893778,0.0001976268,0.0004418762,0.0000733869],"domain_scores_gemma":[0.9945868,0.002074824,0.001620405,0.0003192088,0.001000152,0.0003985349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00058076,0.0001332637,0.9204844,0.0001554834,0.00005477102,0.0002961128,0.0001736166,0.0007786261,0.004274335,0.0003760763,0.0004440516,0.07224848],"study_design_scores_gemma":[0.00007979465,0.0008040001,0.9664551,0.0002039539,0.0002337522,0.005632214,0.001168738,0.01745834,0.003134249,0.00147585,0.003295075,0.00005905623],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782094,0.002246421,0.01533242,0.0003697117,0.0001862372,0.0001448928,0.0005817563,0.00007927145,0.002849837],"genre_scores_gemma":[0.9823199,0.0003857449,0.0161217,0.00003032979,0.0001053704,0.00008484624,0.000620789,0.00001394185,0.0003173272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00299876,"threshold_uncertainty_score":0.01585913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2745811667258263,"score_gpt":0.5334278776440364,"score_spread":0.2588467109182102,"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."}}