{"id":"W2989606058","doi":"10.18280/ria.330307","title":"A New Triplet Convolutional Neural Network for Classification of Lesions on Mammograms","year":2019,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"AI in cancer detection","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Artificial intelligence; Computer science; Pattern recognition (psychology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000572951,0.0006188125,0.0004909805,0.0008637506,0.0002453852,0.000455695,0.0007950323,0.000705209,0.00159445],"category_scores_gemma":[0.001046532,0.000265316,0.0006192207,0.0008253897,0.0002234522,0.0008119792,0.0005863165,0.0005885597,0.0005283036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008198493,"about_ca_system_score_gemma":0.0007036093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0138631,"about_ca_topic_score_gemma":0.0144619,"domain_scores_codex":[0.9996754,0.00003917522,0.00002013448,0.00009722488,0.0001029003,0.00006522977],"domain_scores_gemma":[0.9997993,0.00004364155,0.00002484945,0.00003402301,0.00007826526,0.00001997435],"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":[0.0006579156,0.0003319631,0.01002433,0.000141806,0.0002097839,0.000332503,0.00006532793,0.1545835,0.05740714,0.002930966,0.01025339,0.7630613],"study_design_scores_gemma":[0.000009303915,0.00007339035,0.002918345,0.000009980673,0.00003280871,0.0001226001,0.000007220428,0.9868805,0.007796286,0.0007508423,0.001387433,0.00001127031],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2560162,0.002140525,0.7287595,0.0005429881,0.0003120404,0.000174205,0.001654994,0.00515944,0.005240159],"genre_scores_gemma":[0.8095254,0.0008152954,0.1787295,0.000281961,0.0000782266,0.0001235593,0.003096808,0.00008763964,0.007261543],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0138631,"threshold_uncertainty_score":0.02756476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06582292878497507,"score_gpt":0.2927013670083966,"score_spread":0.2268784382234215,"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."}}