{"id":"W4414247821","doi":"10.21203/rs.3.rs-7622287/v1","title":"LARK: A Low-Cost, Accurate,Occlusion-Resilient, Kalman Filter-AssistedTracking System for Image-Guided Surgery","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Tracking system; Kalman filter; Fiducial marker; Tracking (education); Monocular; Sensor fusion; RGB color model; Trajectory","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008507493,0.0009492953,0.00129618,0.0009815566,0.000481045,0.001093726,0.002176085,0.001422253,0.01132852],"category_scores_gemma":[0.001587885,0.0008481616,0.0004500397,0.0006200445,0.0003545648,0.001415894,0.00193901,0.0009972915,0.007402506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006564292,"about_ca_system_score_gemma":0.001577415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004828267,"about_ca_topic_score_gemma":0.01080101,"domain_scores_codex":[0.999121,0.0001023091,0.00004350589,0.0002114969,0.0004577959,0.0000639219],"domain_scores_gemma":[0.9993855,0.0001504232,0.00007576221,0.0001358571,0.0001936094,0.000058819],"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":[0.001017024,0.000171612,0.001125917,0.0003930804,0.0001148936,0.00028301,0.0001843311,0.01516652,0.1411488,0.002175452,0.03293972,0.8052795],"study_design_scores_gemma":[0.0002767776,0.0005575663,0.003646037,0.0000930848,0.0001579717,0.0009440736,0.00006534965,0.8067051,0.1240041,0.001946599,0.0613478,0.0002554989],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006134877,0.0003164299,0.9557496,0.00009617245,0.0001172683,0.0001030577,0.0004738403,0.03515603,0.001852809],"genre_scores_gemma":[0.1386975,0.0004387926,0.8418073,0.0004781818,0.00006220175,0.000241273,0.001651628,0.001552223,0.01507095],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01132852,"threshold_uncertainty_score":0.03789765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1312939821860744,"score_gpt":0.4270734721444193,"score_spread":0.2957794899583449,"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."}}