{"id":"W2596164046","doi":"10.1117/12.2254542","title":"Characterizing the lung tissue mechanical properties using a micromechanical model of alveolar sac","year":2017,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute; Robarts Clinical Trials","funders":"","keywords":"Lung; COPD; Finite element method; Alveolar Wall; Parenchyma; Computer science; Biomedical engineering; Pathology; Medicine; Materials science; Structural engineering","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":[0.0001647228,0.000439802,0.0002699026,0.0003653355,0.000234203,0.0005391077,0.0005802454,0.001072276,0.0007686412],"category_scores_gemma":[0.000326334,0.0002414958,0.0004681674,0.0002275826,0.0003783573,0.0004680683,0.0003112556,0.0003149228,0.0003240553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002876335,"about_ca_system_score_gemma":0.0004453566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00218824,"about_ca_topic_score_gemma":0.001814783,"domain_scores_codex":[0.9998853,0.0000222172,0.000006947167,0.00003439997,0.00003931355,0.00001177464],"domain_scores_gemma":[0.9998963,0.00003864745,0.00002036176,0.00001743462,0.00002013627,0.000007114204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004277053,0.00007851332,0.002514957,0.0001063157,0.00002058607,0.0004410381,0.0001355281,0.8404299,0.1333626,0.007989917,0.0002888097,0.01458917],"study_design_scores_gemma":[0.000003413057,0.0000405663,0.000961579,0.000006627719,0.000008875528,0.0001525458,0.0000212433,0.9933304,0.003616682,0.0008265202,0.001021609,0.000009785192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.151848,0.0009810281,0.8370926,0.0002399995,0.00004591015,0.0001185187,0.0003705587,0.0002973422,0.009006091],"genre_scores_gemma":[0.920112,0.001090809,0.07376139,0.00005196521,0.00002219716,0.0002069959,0.000207862,0.00003367371,0.004513124],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00218824,"threshold_uncertainty_score":0.004351079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02188030336751745,"score_gpt":0.2532097204677358,"score_spread":0.2313294171002183,"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."}}