{"id":"W4280522237","doi":"10.3791/63535","title":"Biplanar Videoradiography Dataset for Model-based Pose Estimation Development and New User Training","year":2022,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Diabetic Foot Ulcer Assessment and Management","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Pose; Artificial intelligence; Translation (biology); Calcaneus; Software; Rotation (mathematics); Motion capture; Measure (data warehouse); Computer vision; Pattern recognition (psychology); Machine learning; Data mining; Motion (physics)","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":[0.001609648,0.001588178,0.0008513461,0.001534789,0.000484655,0.0007614524,0.001847837,0.001214989,0.0131203],"category_scores_gemma":[0.004624259,0.0004448657,0.00102368,0.001056216,0.0003363476,0.0005199671,0.001541899,0.001101239,0.01182084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004397811,"about_ca_system_score_gemma":0.0009432673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006257131,"about_ca_topic_score_gemma":0.01911943,"domain_scores_codex":[0.9987341,0.000252471,0.0001435017,0.0003617178,0.0003981399,0.0001101919],"domain_scores_gemma":[0.997734,0.0004739072,0.0001171135,0.0008474439,0.0007110501,0.0001164863],"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":[0.001232641,0.001466633,0.01563072,0.002112297,0.0002993468,0.001022697,0.0003865949,0.01643041,0.0398014,0.001606378,0.4115993,0.5084116],"study_design_scores_gemma":[0.0006506714,0.001107942,0.08844687,0.0009565763,0.0002772951,0.00487102,0.0007772351,0.1666308,0.07409603,0.005471785,0.6562849,0.0004288781],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1331587,0.002672827,0.3294565,0.0009960042,0.001566183,0.003289875,0.4461913,0.06382182,0.01884666],"genre_scores_gemma":[0.1381047,0.000917913,0.2123128,0.0004647298,0.0001661688,0.00400281,0.632404,0.002676594,0.008950276],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0131203,"threshold_uncertainty_score":0.04389173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0850204497255692,"score_gpt":0.4393502074620809,"score_spread":0.3543297577365117,"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."}}