{"id":"W1984374046","doi":"10.1117/12.530966","title":"Detection of architectural distortion in mammograms using phase portraits","year":2004,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"AI in cancer detection","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Cancer Institute; Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Artificial intelligence; Distortion (music); Computer vision; False positive paradox; Orientation (vector space); Pattern recognition (psychology); Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004091279,0.000309141,0.0002138578,0.001593298,0.0001309115,0.0004662985,0.0002092383,0.0003439322,0.001158039],"category_scores_gemma":[0.003019796,0.0002361968,0.000207544,0.0006014268,0.000293854,0.000635174,0.000261747,0.0002773786,0.0004625531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001254466,"about_ca_system_score_gemma":0.0001118515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003187195,"about_ca_topic_score_gemma":0.0005762461,"domain_scores_codex":[0.9998153,0.00004065954,0.000009658528,0.00003105174,0.00008625539,0.00001708752],"domain_scores_gemma":[0.9986958,0.0007641751,0.0001446249,0.0001340882,0.0002107567,0.00005064948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005991502,0.00006128618,0.01482968,0.0002328931,0.00006628994,0.001116371,0.0003385802,0.01198827,0.5830857,0.002028064,0.0009886102,0.384665],"study_design_scores_gemma":[0.00008929352,0.0006153748,0.08685833,0.00009132819,0.000183714,0.01281245,0.0004559802,0.4063913,0.4786924,0.005548788,0.008132657,0.0001283337],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4771648,0.0008444849,0.517202,0.0002612254,0.00005249099,0.00009534688,0.0002423729,0.001381035,0.002756256],"genre_scores_gemma":[0.7229462,0.0009649771,0.2747126,0.00004778928,0.00005087628,0.00002393475,0.0002408761,0.000099663,0.0009130624],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001593298,"threshold_uncertainty_score":0.003874004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01358283023930335,"score_gpt":0.2465904518309472,"score_spread":0.2330076215916438,"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."}}