{"id":"W1964028931","doi":"10.1016/s0041-624x(02)00383-9","title":"A digital image analysis method for diagnostic ultrasound calibration","year":2002,"lang":"en","type":"article","venue":"Ultrasonics","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University; Kingston General Hospital","funders":"","keywords":"Computer science; Calibration; Computer vision; Diagnostic ultrasound; Artificial intelligence; Image (mathematics); Ultrasound; Digital image analysis; Medical physics; Radiology; Medicine; Mathematics; Statistics","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":[0.0001907454,0.0002316195,0.0004294434,0.0003363351,0.0001509055,0.0002170977,0.0001057315,0.0001062024,0.0003693187],"category_scores_gemma":[0.003277891,0.0002085021,0.0005729119,0.001183758,0.0000892219,0.0003466058,0.000008584563,0.0001899524,0.00005204459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004760925,"about_ca_system_score_gemma":0.0000233681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001632649,"about_ca_topic_score_gemma":0.000008968112,"domain_scores_codex":[0.9985245,0.00003244595,0.0003315847,0.0004206363,0.0002722318,0.0004186274],"domain_scores_gemma":[0.9958233,0.003308241,0.00009936217,0.0004040865,0.0001450525,0.0002200081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004067514,0.004361996,0.6864915,0.000678674,0.01188555,0.00005103567,0.005606119,0.001605441,0.1078449,0.002270791,0.0810653,0.0977319],"study_design_scores_gemma":[0.01172225,0.002747757,0.08416264,0.0003059928,0.02658925,0.001524456,0.002335828,0.2358077,0.01205347,0.002686923,0.6168781,0.003185655],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05635393,0.0006960604,0.933481,0.001082917,0.0001668367,0.0006207154,0.0003065692,0.0003020875,0.006989827],"genre_scores_gemma":[0.7984332,0.0002956119,0.1965273,0.0007974014,0.0002558316,0.0001004057,0.0006226062,0.00006494707,0.002902688],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7420793,"threshold_uncertainty_score":0.8502467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01168480841837532,"score_gpt":0.2701953034734615,"score_spread":0.2585104950550862,"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."}}