{"id":"W2979431788","doi":"10.1049/htl.2019.0091","title":"Augmented reality mastectomy surgical planning prototype using the HoloLens template for healthcare technology letters","year":2019,"lang":"en","type":"article","venue":"Healthcare Technology Letters","topic":"Breast Implant and Reconstruction","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Computer science; Augmented reality; Implant; Mastectomy; Process (computing); Holography; Medical physics; Computer vision; Human–computer interaction; Medicine; Surgery; Breast cancer; Cancer","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":[0.000515182,0.0005276642,0.0003240547,0.0004555568,0.0001826783,0.001155577,0.0009725227,0.0008442397,0.0113328],"category_scores_gemma":[0.001295984,0.0004372721,0.0008968679,0.0002495864,0.0001581989,0.0004791161,0.0007074967,0.000470309,0.003200621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002214466,"about_ca_system_score_gemma":0.0005245071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001192533,"about_ca_topic_score_gemma":0.00169673,"domain_scores_codex":[0.9995177,0.00008766235,0.00005379644,0.00007694778,0.0002329244,0.00003106452],"domain_scores_gemma":[0.999574,0.0001566684,0.00003033407,0.0001131269,0.00007981527,0.00004596783],"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":[0.0009071929,0.0002429684,0.002386124,0.0006062684,0.0001014539,0.003882552,0.000678003,0.01078142,0.1274181,0.002885708,0.04121236,0.8088979],"study_design_scores_gemma":[0.0003542999,0.00157675,0.01612412,0.0002632762,0.0002866022,0.02651291,0.0005534659,0.3526319,0.2051266,0.003418377,0.392585,0.000566732],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05265561,0.001179815,0.9097815,0.001026468,0.0008601762,0.0005556809,0.001466959,0.01839816,0.01407574],"genre_scores_gemma":[0.270278,0.0008449992,0.7058851,0.0005906096,0.0001561159,0.000417302,0.001802719,0.001315287,0.01870994],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0113328,"threshold_uncertainty_score":0.03791201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04786015755982916,"score_gpt":0.3442669765336597,"score_spread":0.2964068189738306,"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."}}