{"id":"W2911359334","doi":"10.1016/j.ultrasmedbio.2018.10.015","title":"Attenuation Coefficient Estimation of Normal Placentas","year":2019,"lang":"en","type":"article","venue":"Ultrasound in Medicine & Biology","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Standard deviation; Coefficient of variation; Attenuation; Attenuation coefficient; Correlation coefficient; Mathematics; Biomedical engineering; Physics; Statistics; Medicine; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004202653,0.0001550517,0.0004553724,0.0003988622,0.00002476479,0.000002309224,0.0000804954,0.000103451,0.0006007908],"category_scores_gemma":[0.0007070088,0.000118345,0.00006201582,0.0004739137,0.0003136129,0.00005680701,0.00001247589,0.0002586996,0.00007930215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005496277,"about_ca_system_score_gemma":0.0000571478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002243359,"about_ca_topic_score_gemma":0.00001073642,"domain_scores_codex":[0.9986866,0.00007664085,0.0004845469,0.0002771661,0.0001919063,0.0002831991],"domain_scores_gemma":[0.9988163,0.0005874485,0.0001538729,0.0002727585,0.00009270867,0.00007689435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002686372,0.0002309446,0.7467093,0.0001321219,0.00004334634,0.00000117387,0.001119919,0.000739778,0.2393714,0.001064303,0.0008083438,0.00951073],"study_design_scores_gemma":[0.0110284,0.005295964,0.9180198,0.001043001,0.0002408725,0.0004154631,0.001920401,0.004117906,0.004653587,0.0009358241,0.05185834,0.0004704239],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839009,0.0004020256,0.006039642,0.0008098148,0.0005624826,0.000386767,0.00000813385,0.00003997556,0.007850239],"genre_scores_gemma":[0.996367,0.0001209578,0.002262442,0.0005813664,0.0001025857,0.000009341255,0.0003715135,0.00001339587,0.0001714385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2347178,"threshold_uncertainty_score":0.6578239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00940128424634971,"score_gpt":0.283335525357172,"score_spread":0.2739342411108223,"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."}}