{"id":"W2990106615","doi":"10.48550/arxiv.1911.09863","title":"Shape Detection In 2D Ultrasound Images","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"AI in cancer detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Artificial intelligence; Segmentation; Medical diagnosis; Convolutional neural network; Deep learning; Pattern recognition (psychology); Path (computing); Artificial neural network; Ultrasound; Scanner; Computer vision; Data mining; Machine learning; Radiology","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":[0.0003826956,0.0007392305,0.0006135415,0.003188574,0.0001802264,0.001309296,0.0006140481,0.001305876,0.002460192],"category_scores_gemma":[0.001832754,0.0006542859,0.0007453855,0.001751715,0.0003976084,0.0008634013,0.0008733149,0.0005682262,0.002539743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003636976,"about_ca_system_score_gemma":0.0003144775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002021356,"about_ca_topic_score_gemma":0.003918099,"domain_scores_codex":[0.9994918,0.00005932487,0.00002595268,0.0001420063,0.0002096472,0.00007117531],"domain_scores_gemma":[0.9995421,0.0001286182,0.00006965049,0.00009426947,0.0001284528,0.00003689378],"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":[0.0008002483,0.0001821657,0.01038898,0.0005600154,0.0001551604,0.001074169,0.0002587749,0.04802099,0.2345565,0.001969025,0.01001829,0.6920156],"study_design_scores_gemma":[0.00002844066,0.0002172835,0.03714552,0.0001333967,0.00005591191,0.002964344,0.0003172682,0.8272725,0.1081565,0.007485303,0.01613228,0.00009126712],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1916564,0.002322414,0.786793,0.0008351124,0.0002653211,0.0002561315,0.004986277,0.007303487,0.005581847],"genre_scores_gemma":[0.576776,0.002838192,0.4041983,0.0005739903,0.0002516084,0.0001808516,0.007824502,0.0006369947,0.006719678],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003188574,"threshold_uncertainty_score":0.00823015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04343205173879234,"score_gpt":0.183400754171623,"score_spread":0.1399687024328307,"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."}}