{"id":"W2949096937","doi":"10.2196/12660","title":"Computer-Aided Detection for Breast Cancer Screening in Clinical Settings: Scoping Review","year":2019,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"AI in cancer detection","field":"Computer Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact","funders":"","keywords":"Breast cancer; CAD; Medicine; MEDLINE; Medical physics; Breast cancer screening; Cancer; Mammography; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002152163,0.0001635399,0.0004455393,0.0001213545,0.00006933438,0.00008158059,0.0006897365,0.0002126301,0.00006894153],"category_scores_gemma":[0.0001208931,0.0001476303,0.0001348844,0.0005245295,0.0000517353,0.0009765535,0.0002847557,0.0004990649,0.00005166237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001072597,"about_ca_system_score_gemma":0.0003049808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001584992,"about_ca_topic_score_gemma":0.00004216641,"domain_scores_codex":[0.9971995,0.00008642791,0.001426413,0.0002311614,0.0006850311,0.0003714277],"domain_scores_gemma":[0.9983466,0.0004121004,0.0004703126,0.0004355699,0.0001367125,0.0001987043],"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":[0.00001335859,0.0000264406,0.0008319502,0.005535059,0.00001358615,0.000001092301,0.0003154404,0.00008697377,0.00000204608,0.00008016547,0.0009405707,0.9921533],"study_design_scores_gemma":[0.001430384,0.0001915636,0.003811814,0.05808811,0.000009703989,0.00007837802,0.00005237333,0.9341876,0.00006560364,0.0000849349,0.001705901,0.0002936426],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01020696,0.0006016209,0.9828934,0.002120969,0.001683311,0.002108637,0.000005530686,0.0002158,0.0001637631],"genre_scores_gemma":[0.3273197,0.01349961,0.5577168,0.0936581,0.004261916,0.003237912,0.00003383577,0.0001361684,0.0001359936],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9918597,"threshold_uncertainty_score":0.6020188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03051195587498435,"score_gpt":0.3752423875040348,"score_spread":0.3447304316290504,"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."}}