{"id":"W3133282506","doi":"","title":"Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part VI (angiography and vessel analysis; breast imaging; colonoscopy; dermatology; fetal imaging; heart and lung imaging; musculoskeletal imaging)","year":2020,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia; Canada Research Chairs; University of Toronto","funders":"","keywords":"Medicine; Colonoscopy; Medical physics; Radiology; Medical imaging; Colorectal cancer; Internal medicine; Cancer","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":[0.003121076,0.001562655,0.001421848,0.002006805,0.0007003783,0.002747566,0.00131238,0.001520781,0.03384248],"category_scores_gemma":[0.003835607,0.0005236124,0.0006444956,0.001731476,0.001017657,0.001696758,0.001934107,0.001787347,0.01674722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001310623,"about_ca_system_score_gemma":0.00259739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008344455,"about_ca_topic_score_gemma":0.007619912,"domain_scores_codex":[0.9988543,0.0002404021,0.00006036924,0.0002302786,0.0004869361,0.0001277793],"domain_scores_gemma":[0.9980171,0.0004074321,0.00004106444,0.0002018916,0.0009974522,0.0003351136],"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":[0.0003640171,0.0001741557,0.0006005082,0.0003547526,0.00008036243,0.00007719694,0.00006177529,0.002324145,0.004961001,0.009342622,0.6866118,0.2950475],"study_design_scores_gemma":[0.00009441059,0.0002166567,0.008550811,0.0002893226,0.0000931723,0.0004811513,0.0001265055,0.06164527,0.01267966,0.01421718,0.9015391,0.00006675407],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.03442034,0.1328727,0.4552636,0.03841526,0.05959579,0.001107082,0.01477532,0.02255949,0.2409904],"genre_scores_gemma":[0.08686697,0.05392715,0.2305142,0.001732117,0.01138844,0.0007401177,0.02513212,0.005209667,0.5844893],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03384248,"threshold_uncertainty_score":0.1132144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008471671796239427,"score_gpt":0.2831040113822568,"score_spread":0.2746323395860174,"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."}}