{"id":"W4298442302","doi":"10.1007/978-3-031-01654-7_1","title":"Computer-Aided Diagnosis of Breast Cancer","year":2012,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on biomedical engineering","topic":"AI in cancer detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Breast cancer; Medicine; Computer science; Cancer; Internal medicine","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":[0.0003346705,0.0005871232,0.0005390083,0.001183307,0.0001228148,0.0008487534,0.0007842978,0.0006451642,0.01967898],"category_scores_gemma":[0.0007371819,0.0003055889,0.0004369454,0.0007322946,0.0002920473,0.0006232867,0.0004220703,0.0006958956,0.00783082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002916374,"about_ca_system_score_gemma":0.0003211615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008447224,"about_ca_topic_score_gemma":0.002082841,"domain_scores_codex":[0.9998695,0.00001739687,0.000005963842,0.0000256991,0.00006969556,0.00001171168],"domain_scores_gemma":[0.9997509,0.000160394,0.000008829287,0.00001519754,0.00005343717,0.00001129891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006225079,0.00004802264,0.000325472,0.0006604131,0.00003832696,0.0001776986,0.00006419438,0.003366611,0.01375075,0.009040705,0.09385817,0.8786074],"study_design_scores_gemma":[0.00003443052,0.0001598772,0.004635349,0.0009465857,0.0001157486,0.004928141,0.0001000942,0.0430838,0.0336034,0.03525688,0.8770562,0.00007961064],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.00993744,0.3065338,0.482003,0.005939133,0.005627537,0.0001762687,0.001848288,0.004022364,0.1839123],"genre_scores_gemma":[0.0910624,0.1572996,0.3287533,0.002261933,0.002693947,0.0001214615,0.003327721,0.0006333601,0.4138463],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01967898,"threshold_uncertainty_score":0.06583273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01012407086572344,"score_gpt":0.2115989464374147,"score_spread":0.2014748755716912,"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."}}