{"id":"W2440252489","doi":"","title":"Personalized Guides for Registration in Surgical Navigation.","year":2016,"lang":"en","type":"article","venue":"PubMed","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer vision; Computer science; Drill; Artificial intelligence; Surgical planning; Tracking (education); Track (disk drive); Transformation (genetics); Medical physics; Coordinate system; Orthopedic surgery; Medicine; Radiology; Surgery; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001967688,0.0008233917,0.0004662075,0.001103599,0.0003697712,0.001423114,0.001108651,0.001152303,0.004985395],"category_scores_gemma":[0.007217437,0.0007071229,0.0006128878,0.001121156,0.001031916,0.001929203,0.0018311,0.0009589088,0.003337432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004078878,"about_ca_system_score_gemma":0.001255703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001197004,"about_ca_topic_score_gemma":0.002686465,"domain_scores_codex":[0.9973205,0.0007490196,0.000164526,0.0003447613,0.001335679,0.00008543314],"domain_scores_gemma":[0.9964098,0.001026744,0.0005975132,0.001326261,0.0005339338,0.0001057315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003353075,0.00009167618,0.005495668,0.001289592,0.0001708464,0.0005372766,0.001124389,0.01484746,0.1646434,0.02046779,0.0119275,0.7790689],"study_design_scores_gemma":[0.0001541183,0.002346913,0.02240575,0.0005940114,0.000453063,0.01900785,0.000742952,0.09059627,0.2793539,0.01656792,0.5672123,0.0005647835],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007457231,0.001267377,0.9852905,0.00008878796,0.0001331076,0.0001308432,0.000129758,0.002453171,0.003049196],"genre_scores_gemma":[0.1001277,0.001242573,0.8923815,0.0001953781,0.0000620229,0.0002321386,0.0004062943,0.0006471119,0.004705435],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004985395,"threshold_uncertainty_score":0.0166778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01847076011515745,"score_gpt":0.2280918413382979,"score_spread":0.2096210812231404,"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."}}