{"id":"W3179720696","doi":"10.1109/cvpr46437.2021.01492","title":"Reciprocal Landmark Detection and Tracking with Extremely Few Annotations","year":2021,"lang":"en","type":"article","venue":"","topic":"Phonocardiography and Auscultation Techniques","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital; University of British Columbia","funders":"","keywords":"Computer science; Artificial intelligence; Landmark; Computer vision; Workflow; Tracking (education); Pattern recognition (psychology); Reciprocal; Sequence (biology)","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":[0.001904866,0.001028981,0.0008924557,0.0003672465,0.0004387203,0.0007892419,0.001752775,0.001760602,0.00141564],"category_scores_gemma":[0.005294346,0.0005220357,0.000755044,0.0004071308,0.001072609,0.001200818,0.002312728,0.001879241,0.001205807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004982729,"about_ca_system_score_gemma":0.0007881232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003513299,"about_ca_topic_score_gemma":0.004140107,"domain_scores_codex":[0.9990298,0.0002151938,0.0000377039,0.0003751522,0.0002430369,0.00009912966],"domain_scores_gemma":[0.9981224,0.0008096027,0.0002058574,0.0005362995,0.0002421604,0.00008374356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006640847,0.0001243985,0.002488193,0.000102923,0.00006946274,0.0004311859,0.0002377619,0.6556586,0.02964875,0.01033526,0.003879428,0.29636],"study_design_scores_gemma":[0.000007138362,0.00005998074,0.0002893008,0.000005511151,0.000008275389,0.00008760325,0.000007641179,0.9927717,0.004334218,0.001875502,0.0005429304,0.00001022635],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02356747,0.0001370526,0.9738333,0.0001370111,0.00005701936,0.0000379447,0.00005615715,0.001107944,0.001066063],"genre_scores_gemma":[0.6973271,0.0002614856,0.293432,0.0002750113,0.00009928874,0.000131299,0.0005378696,0.0002119498,0.007724118],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003513299,"threshold_uncertainty_score":0.01007396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01815605468808055,"score_gpt":0.2611533814204211,"score_spread":0.2429973267323406,"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."}}