{"id":"W4404915498","doi":"10.1109/ismar-adjunct64951.2024.00040","title":"Technical Challenges in Building Cross Reality Applications for Analyzing 3D Medical Images","year":2024,"lang":"en","type":"article","venue":"","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Virtual reality; Augmented reality; Computer graphics (images); Computer vision; Human–computer interaction","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":[0.01439501,0.001149387,0.0009342257,0.001655697,0.0008483115,0.006936328,0.005346724,0.002563807,0.009657611],"category_scores_gemma":[0.03101576,0.001695632,0.001145395,0.001024501,0.001593756,0.006770207,0.00506375,0.002614429,0.007602228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005810545,"about_ca_system_score_gemma":0.001288721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001427535,"about_ca_topic_score_gemma":0.001774842,"domain_scores_codex":[0.990411,0.002780399,0.0007295067,0.001072322,0.004635645,0.000371143],"domain_scores_gemma":[0.975517,0.01148924,0.000877673,0.004343216,0.006963123,0.0008097486],"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":[0.0002782936,0.0003594674,0.005138266,0.003147213,0.0002334974,0.001844948,0.00444067,0.02150449,0.1038526,0.07440563,0.04141252,0.7433824],"study_design_scores_gemma":[0.0001127102,0.00082677,0.008359076,0.001676811,0.0001946319,0.01114612,0.004018491,0.2200212,0.09433747,0.0787086,0.5800989,0.0004991289],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006069402,0.001618629,0.9759671,0.002305833,0.0002095301,0.0002699451,0.0001275387,0.006659069,0.006772896],"genre_scores_gemma":[0.05251417,0.001951653,0.9384405,0.001059203,0.0001740227,0.0003511909,0.0003607498,0.001802077,0.003346412],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01439501,"threshold_uncertainty_score":0.07612902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03526381400698974,"score_gpt":0.3578794329211914,"score_spread":0.3226156189142017,"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."}}