{"id":"W2553706653","doi":"","title":"AUTOMATED BONE CONTOUR DETECTION IN 3D B-MODE ULTRASOUND IMAGES USING OPTIMISED PHASE SYMMETRY FEATURES-A CLINICAL EVALUATION FOR PELVIC FRACTURES","year":2012,"lang":"en","type":"article","venue":"","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Artificial intelligence; Computer vision; Speckle noise; Ultrasound; Computer science; Filter (signal processing); Orientation (vector space); Speckle pattern; Gold standard (test); Radiology; Medicine; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001252954,0.0004082933,0.0004190373,0.002324852,0.0001834337,0.0004603998,0.0004245283,0.0008671667,0.0009489042],"category_scores_gemma":[0.004380028,0.0004827319,0.0002348007,0.0005622705,0.00042273,0.0004316206,0.0003709877,0.0002125391,0.0003838596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001551268,"about_ca_system_score_gemma":0.0002174127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008156162,"about_ca_topic_score_gemma":0.001171063,"domain_scores_codex":[0.9993765,0.0001869283,0.00006888752,0.00008936225,0.0002413773,0.00003706749],"domain_scores_gemma":[0.9987972,0.0004919039,0.000194675,0.0001072246,0.0003103966,0.00009865197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004282437,0.0004750904,0.2030118,0.0005930588,0.0001098924,0.002492505,0.0005932146,0.007160245,0.444742,0.0002169566,0.0009536646,0.3353692],"study_design_scores_gemma":[0.0004911653,0.005246621,0.6115926,0.0001116327,0.000249665,0.02638861,0.0007046495,0.2183534,0.1337621,0.0004741518,0.002365496,0.0002598141],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9558378,0.0008185453,0.04211237,0.00007758073,0.00001342356,0.0001899122,0.0001338015,0.0002471167,0.0005693598],"genre_scores_gemma":[0.9511888,0.0003944743,0.04786703,0.00004020563,0.00001268867,0.00007388426,0.0001305083,0.00003818271,0.0002542773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002324852,"threshold_uncertainty_score":0.006626308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08337351225652574,"score_gpt":0.5039950949647707,"score_spread":0.420621582708245,"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."}}