{"id":"W2130219793","doi":"10.1117/12.844608","title":"3D ultrasound volume stitching using phase symmetry and harris corner detection for orthopaedic applications","year":2010,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Image stitching; Computer science; Volume (thermodynamics); Ultrasound; Corner detection; Symmetry (geometry); Optics; Artificial intelligence; Acoustics; Physics; Geometry; Mathematics; Image (mathematics)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004131956,0.0002754898,0.0002996569,0.0001305049,0.0001565727,0.0001483805,0.0003304247,0.0002257356,0.000006751032],"category_scores_gemma":[0.0003706393,0.0002616536,0.0003122737,0.0002903484,0.0001506845,0.0004189893,0.00004311858,0.0003479294,5.589986e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009699946,"about_ca_system_score_gemma":0.00001828971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008074548,"about_ca_topic_score_gemma":6.789004e-7,"domain_scores_codex":[0.9984862,1.280708e-8,0.0005449505,0.0003070881,0.0003416858,0.0003200817],"domain_scores_gemma":[0.9985265,0.0001543795,0.0001941604,0.00005803408,0.0009363467,0.0001305616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000358319,0.00007028518,0.0003133565,0.0005421275,0.0002246232,2.662268e-8,0.00008873515,0.004835193,0.9214774,0.07023855,0.0002502895,0.001923597],"study_design_scores_gemma":[0.001208988,0.0001392371,0.000238031,0.0001018756,0.0002136845,0.00002351799,0.0003305166,0.8854424,0.1077967,0.0006702537,0.003488784,0.000346065],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9715253,0.00007580421,0.02671047,0.0001307035,0.0003531568,0.0007677549,0.00007848701,0.0001405677,0.0002177252],"genre_scores_gemma":[0.8393596,0.00005848644,0.1596397,0.00003314765,0.0005652907,0.0001924739,0.00002024252,0.00008946539,0.00004159169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8806072,"threshold_uncertainty_score":0.9999835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009289172198464741,"score_gpt":0.2296240993473439,"score_spread":0.2203349271488792,"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."}}