{"id":"W2016578681","doi":"10.1155/2012/890830","title":"Semiautomated Multimodal Breast Image Registration","year":2012,"lang":"en","type":"article","venue":"International Journal of Biomedical Imaging","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Modality (human–computer interaction); Mammography; Modalities; Computer science; Image registration; Gold standard (test); Artificial intelligence; Imaging phantom; Magnetic resonance imaging; Medical physics; Computer vision; Medical imaging; Breast imaging; Image (mathematics); Pattern recognition (psychology); Radiology; Medicine; Breast cancer","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":[0.0006461472,0.000111884,0.0002019703,0.0002594932,0.00003618032,0.00004675679,0.0002554287,0.00005555946,0.0004011249],"category_scores_gemma":[0.0003210823,0.00008682317,0.0001444139,0.0001565021,0.0002440195,0.0004218707,0.00005770402,0.0003453323,0.00003588227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001434875,"about_ca_system_score_gemma":0.0001250934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002453945,"about_ca_topic_score_gemma":9.609689e-8,"domain_scores_codex":[0.9980913,0.00002876686,0.0006058748,0.0001022531,0.0009386016,0.000233167],"domain_scores_gemma":[0.9984002,0.00006568147,0.0003395962,0.0001327512,0.0006023625,0.0004594831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002375857,0.001904911,0.03878323,0.00004871111,0.00032133,0.000541962,0.0003420027,3.936538e-7,0.5951623,0.001334075,0.2018238,0.1594997],"study_design_scores_gemma":[0.01184291,0.0003619319,0.2117461,0.002730186,0.0007389438,0.1289168,0.0008399371,0.05362449,0.06183528,0.002015914,0.52432,0.001027466],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4041135,0.0005287871,0.3443823,0.2410585,0.003150782,0.0004114028,0.0000867226,0.0003910613,0.005876882],"genre_scores_gemma":[0.9292305,0.000042844,0.06750852,0.001284789,0.001765404,0.000004091533,0.00005614248,0.00001582032,0.00009191227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.533327,"threshold_uncertainty_score":0.4392036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01236977082506818,"score_gpt":0.3465454015517242,"score_spread":0.334175630726656,"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."}}