{"id":"W1608076258","doi":"10.1111/j.1708-8208.2011.00435.x","title":"Conventional Multi‐Slice Computed Tomography (CT) and Cone‐Beam CT (CBCT) for Computer‐Aided Implant Placement. Part II: Reliability of Mucosa‐Supported Stereolithographic Guides","year":2012,"lang":"en","type":"article","venue":"Clinical Implant Dentistry and Related Research","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cone beam computed tomography; Nuclear medicine; Medicine; Scanner; Implant; Cone beam ct; Tomography; Computed tomography; Radiology; Surgery; Computer science","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":[0.002620697,0.0005702021,0.0003343656,0.001700196,0.0001408296,0.0003634354,0.000574353,0.0004659789,0.002279451],"category_scores_gemma":[0.007767784,0.0005483243,0.000416904,0.0007313755,0.0005070797,0.0003473788,0.0003172259,0.0003562533,0.0004603768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002974586,"about_ca_system_score_gemma":0.0005670189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001566596,"about_ca_topic_score_gemma":0.00451988,"domain_scores_codex":[0.9981849,0.0005413495,0.000178789,0.0002108294,0.0008288317,0.00005529886],"domain_scores_gemma":[0.9940668,0.002439218,0.00128458,0.0007891982,0.001218102,0.0002020479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00447192,0.0002005768,0.6952367,0.0007170578,0.0003649583,0.001227463,0.0006433341,0.002754734,0.141436,0.0002272515,0.00105577,0.1516642],"study_design_scores_gemma":[0.0001882298,0.001761316,0.9474218,0.0001188768,0.0002263976,0.01041232,0.000252534,0.01126842,0.02601914,0.0001061001,0.002149031,0.00007580992],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9591269,0.006025863,0.03258957,0.00006563715,0.00005687473,0.0002697539,0.0004788637,0.0002046018,0.001182021],"genre_scores_gemma":[0.9789772,0.0005111156,0.01970379,0.00003402461,0.00002137244,0.0001184844,0.0002442675,0.00003164126,0.0003580032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002620697,"threshold_uncertainty_score":0.01385975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1309567617617896,"score_gpt":0.4402651658430356,"score_spread":0.309308404081246,"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."}}