{"id":"W4405179831","doi":"10.1109/lra.2024.3514513","title":"H-Net: A Multitask Architecture for Simultaneous 3D Force Estimation and Stereo Semantic Segmentation in Intracardiac Catheters","year":2024,"lang":"en","type":"article","venue":"IEEE Robotics and Automation Letters","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Intracardiac injection; Segmentation; Computer science; Artificial intelligence; Architecture; Estimation; Computer vision; Engineering; Medicine; Geography; Surgery; Systems engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006758289,0.0001338136,0.0001811853,0.0001551424,0.00004752213,0.00008966077,0.00001366761,0.00004530575,0.000001267523],"category_scores_gemma":[0.00002687428,0.000118087,0.0001306074,0.00008835256,0.00002946568,0.00009202642,0.000006772582,0.00006487134,0.000002763465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006772059,"about_ca_system_score_gemma":0.00001608254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001598462,"about_ca_topic_score_gemma":0.000003102804,"domain_scores_codex":[0.9993108,0.00002016868,0.0001834898,0.000226992,0.0001167953,0.0001417625],"domain_scores_gemma":[0.9996173,0.0001786073,0.00003684746,0.00008191121,0.000018976,0.00006634166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001762115,0.0001392603,0.01007163,0.002368627,0.000820911,0.0001080488,0.003017752,0.6675515,0.02098273,0.0001197557,0.0003498268,0.2942938],"study_design_scores_gemma":[0.001356728,0.0001098047,0.01544287,0.0003328061,0.0005332661,0.0000344689,0.00006752304,0.9815857,0.0002441119,0.0001059429,0.00004217405,0.0001445642],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8623255,0.0003962013,0.1336878,0.002416637,0.0002229177,0.0008240832,0.00004646312,0.00007517371,0.000005181732],"genre_scores_gemma":[0.9870282,0.00005042361,0.01201097,0.000605793,0.0000615136,0.00005205802,0.0001491699,0.00002190108,0.00001996696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3140343,"threshold_uncertainty_score":0.4815447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007631856924360475,"score_gpt":0.297770713209999,"score_spread":0.2901388562856386,"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."}}