{"id":"W4392293088","doi":"10.1049/htl2.12082","title":"Papers from the 17th Joint Workshop on Augmented Environments for Computer Assisted Interventions at MICCAI 2023: Guest Editors’ Foreword","year":2024,"lang":"en","type":"editorial","venue":"Healthcare Technology Letters","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Concordia University; École de Technologie Supérieure; Western University","funders":"","keywords":"Computer science; Joint (building); Engineering; Architectural engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0007180534,0.0008588166,0.001091693,0.000757819,0.0006341028,0.0003333486,0.002495818,0.002049116,0.00003171686],"category_scores_gemma":[0.0003812189,0.0007275459,0.0008644575,0.0007559165,0.0003808544,0.000181091,0.001639965,0.002854085,0.0005892545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002006446,"about_ca_system_score_gemma":0.000204448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003628676,"about_ca_topic_score_gemma":0.001424802,"domain_scores_codex":[0.9940633,0.0004391293,0.001269528,0.002118079,0.00109855,0.001011374],"domain_scores_gemma":[0.9937609,0.002726991,0.0008601876,0.002327074,0.0001320392,0.0001927662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003716636,0.0001032815,0.00003230354,0.0002420873,0.0004351777,0.00005433729,0.000145974,0.000003023004,0.0002348435,0.00005599101,0.9672204,0.03143539],"study_design_scores_gemma":[0.0008562185,0.0002842712,0.0001244124,0.003486868,0.0001233296,0.00001512753,0.00007709855,0.0003713681,0.00009652167,0.0001995903,0.9937336,0.0006316231],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0004144027,0.0008863389,0.03421214,0.1629551,0.7970393,0.002048144,0.001409474,0.00101243,0.00002270264],"genre_scores_gemma":[0.006593997,0.0002328235,0.00381168,0.0070985,0.9745541,0.003105505,0.003094826,0.000243077,0.001265466],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1775149,"threshold_uncertainty_score":0.9995176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04286549367536927,"score_gpt":0.3024317961012447,"score_spread":0.2595663024258754,"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."}}