{"id":"W2131210577","doi":"10.1016/j.joms.2007.08.031","title":"Optimizing Craniofacial Osteotomies: Applications of Haptic and Rapid Prototyping Technology","year":2008,"lang":"en","type":"article","venue":"Journal of Oral and Maxillofacial Surgery","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sunnybrook Health Science Centre; Sunnybrook Hospital","funders":"","keywords":"Medicine; Craniofacial; Osteotomy; Orthodontics; Stereolithography; Rapid prototyping; Oral and maxillofacial surgery; Medical physics; Dentistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0001870842,0.0001059848,0.0003963804,0.0003646742,0.00008316641,0.000004852744,0.00007281086,0.0001784856,0.00001969073],"category_scores_gemma":[0.00008116953,0.00009113886,0.00007313341,0.0002595626,0.0003400735,0.0001213188,0.0000322212,0.0002463997,9.200277e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001365916,"about_ca_system_score_gemma":0.00004037919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004527666,"about_ca_topic_score_gemma":4.571974e-7,"domain_scores_codex":[0.9992126,0.000007234768,0.0004181987,0.00007963951,0.0001104781,0.0001718112],"domain_scores_gemma":[0.9996285,0.0000239794,0.0001231798,0.00006659768,0.00007083074,0.00008694705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004790293,0.00003602488,0.008233774,0.0001387595,0.00009101189,0.00008032572,0.0002055324,0.00001377049,0.002779934,0.001174187,0.00005770521,0.9871411],"study_design_scores_gemma":[0.0009577436,0.0002321642,0.004438508,0.0001673622,0.00008376055,0.002273184,0.0005150824,0.0006869715,0.006574991,0.004143246,0.9795188,0.0004082219],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828641,0.008117976,0.007768937,0.0003817183,0.0002094027,0.0002618478,0.000004386886,0.00009987581,0.0002916967],"genre_scores_gemma":[0.9796034,0.01756319,0.002724884,0.00002886853,0.00003240961,0.00002186681,5.585929e-7,0.00001364908,0.00001124639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9867328,"threshold_uncertainty_score":0.3716535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0135921335742219,"score_gpt":0.2117485907946942,"score_spread":0.1981564572204723,"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."}}