{"id":"W2540127540","doi":"10.1109/iembs.2004.1403893","title":"An Indexed Atlas for Content-based Retrieval and Analysis of Mammograms","year":2005,"lang":"en","type":"article","venue":"","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Atlas (anatomy); Computer science; CAD; Computer-aided diagnosis; Breast cancer; Mammography; Image retrieval; Information retrieval; Content-based image retrieval; Medicine; Artificial intelligence; Radiology; Medical physics; Cancer; Internal medicine; Engineering drawing","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":[0.0002853414,0.00007517773,0.0001852126,0.0002168976,0.00004353748,0.00007140601,0.0003242556,0.00005268395,0.00001551159],"category_scores_gemma":[0.00003301349,0.00006016323,0.00009719661,0.0008384841,0.00005789349,0.0002736756,0.00002530793,0.0000339835,9.41819e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001573804,"about_ca_system_score_gemma":0.00002866494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001824399,"about_ca_topic_score_gemma":0.00001270782,"domain_scores_codex":[0.9992322,0.00002589115,0.0002213143,0.0002381855,0.0001595619,0.0001228077],"domain_scores_gemma":[0.9991933,0.00007614087,0.00009677572,0.0003590688,0.0002048588,0.00006988365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003121475,0.0006447425,0.0149037,0.0000484848,0.0004572633,0.000001050238,0.000300046,0.00004176079,0.2887201,0.1136399,0.0002313064,0.5806995],"study_design_scores_gemma":[0.0003051039,0.0001904277,0.0121017,0.000002718472,0.00008504775,3.346125e-7,0.00002320345,0.4975733,0.4883502,0.0001600712,0.001105801,0.0001020553],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04333692,0.0000349814,0.9554023,0.0007542191,0.00001234534,0.0001648678,0.000007367688,0.0001541354,0.0001329041],"genre_scores_gemma":[0.7888066,0.000005088025,0.2107043,0.0002313006,0.00001035022,0.000006545583,0.00001384959,0.000003060512,0.0002189252],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7454696,"threshold_uncertainty_score":0.2453386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03984470683994931,"score_gpt":0.2936561674098176,"score_spread":0.2538114605698684,"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."}}