{"id":"W4367023385","doi":"10.2139/ssrn.4421666","title":"SPSVO: A Self-Supervised Surgical Perception Stereo Visual Odometer For Endoscopy","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Odometer; Endoscopy; Perception; Computer vision; Medicine; Artificial intelligence; Psychology; Computer science; Neuroscience; Surgery","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":[0.0005217131,0.0007022551,0.0006975756,0.0007965466,0.0002598651,0.0004703287,0.001207164,0.001010795,0.05323891],"category_scores_gemma":[0.001348337,0.0004767928,0.0005736133,0.0004361676,0.000240854,0.0005512459,0.001701279,0.0005141131,0.01108232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002134943,"about_ca_system_score_gemma":0.0009880447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00226555,"about_ca_topic_score_gemma":0.003762644,"domain_scores_codex":[0.9995096,0.00006053803,0.00002172656,0.0001095897,0.0002405194,0.00005798884],"domain_scores_gemma":[0.999468,0.0001134178,0.00004114529,0.0001103909,0.00015735,0.0001097264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003248313,0.0007901621,0.01467351,0.001315209,0.0001762601,0.0002680723,0.0003489896,0.003003363,0.2620334,0.001529869,0.07191298,0.6406999],"study_design_scores_gemma":[0.003429593,0.006584664,0.2305057,0.0005553858,0.0006190856,0.006971632,0.0004646254,0.1405904,0.2107529,0.004273296,0.3945417,0.00071112],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.189541,0.0010021,0.6230776,0.001049975,0.001555756,0.005641693,0.04198349,0.06462875,0.07151956],"genre_scores_gemma":[0.5193084,0.0005264341,0.3686871,0.001240737,0.0004054915,0.002799001,0.01965334,0.005748088,0.08163136],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05323891,"threshold_uncertainty_score":0.1781019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0373140397421474,"score_gpt":0.337871796965323,"score_spread":0.3005577572231756,"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."}}