{"id":"W2093500112","doi":"10.1118/1.3694105","title":"Visibility of microcalcification clusters and masses in breast tomosynthesis image volumes and digital mammography: A 4AFC human observer study","year":2012,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"Malmö Högskola","keywords":"Microcalcification; Mammography; Image quality; Nuclear medicine; Visibility; Digital mammography; Contrast (vision); Observer (physics); Digital Breast Tomosynthesis; Tomosynthesis; Computer vision; Artificial intelligence; Mathematics; Medicine; Computer science; Physics; Optics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00703945,0.000649827,0.0005664901,0.0004658518,0.0002721383,0.0005633096,0.0004444693,0.000773801,0.001819347],"category_scores_gemma":[0.029118,0.000382396,0.0005130551,0.0001510068,0.0007721405,0.0005516391,0.0008655487,0.0003114633,0.0003116897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002927414,"about_ca_system_score_gemma":0.0001606562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006011509,"about_ca_topic_score_gemma":0.0009125216,"domain_scores_codex":[0.9944055,0.003425742,0.0003128342,0.001041787,0.0006468982,0.0001672443],"domain_scores_gemma":[0.970517,0.02034028,0.002836843,0.002660747,0.002770713,0.0008744894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0509571,0.005887811,0.4825114,0.001665433,0.001485229,0.001669719,0.01194555,0.007157471,0.3499466,0.0004141918,0.00129079,0.08506865],"study_design_scores_gemma":[0.001292892,0.03382725,0.8721909,0.00006932965,0.000696804,0.004918823,0.001662229,0.0286441,0.05249133,0.0005517072,0.003412642,0.0002419872],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958253,0.0001680616,0.003497039,0.00001764987,0.00001570718,0.00007758312,0.00004963866,0.00002558913,0.0003236619],"genre_scores_gemma":[0.9964342,0.00002850957,0.003009447,0.00002596462,0.00001432243,0.00006635713,0.00008532955,0.0000195023,0.0003163588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00703945,"threshold_uncertainty_score":0.03722858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01440781658952085,"score_gpt":0.2765891901356474,"score_spread":0.2621813735461265,"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."}}