{"id":"W2760708175","doi":"10.1016/j.clinbiomech.2017.09.016","title":"MRI and CT lung biomarkers: Towards an in vivo understanding of lung biomechanics","year":2017,"lang":"en","type":"review","venue":"Clinical Biomechanics","topic":"Atomic and Subatomic Physics Research","field":"Physics and Astronomy","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Science and Engineering Research Council; Canadian Institutes of Health Research","keywords":"Biomechanics; Lung; In vivo; Medicine; Pathology; Biology; Anatomy; Internal medicine; Biotechnology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001562012,0.001229457,0.001912196,0.002573376,0.0002258793,0.001889365,0.001416059,0.002282758,0.002029955],"category_scores_gemma":[0.002276599,0.0004173775,0.0005475369,0.002054396,0.001230947,0.002603042,0.001073013,0.002415476,0.001477837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008822066,"about_ca_system_score_gemma":0.002219627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001815068,"about_ca_topic_score_gemma":0.002701646,"domain_scores_codex":[0.9996243,0.00006289777,0.00004152731,0.00007703558,0.000160751,0.00003354691],"domain_scores_gemma":[0.9983885,0.0008709879,0.0001747827,0.00004141132,0.0004418286,0.0000824831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006880139,0.0000743441,0.001019303,0.01051955,0.0001117361,0.0001617335,0.00006428818,0.000488112,0.00455033,0.006760704,0.01861316,0.9575679],"study_design_scores_gemma":[0.00002371661,0.0001437933,0.003931792,0.006740829,0.000314783,0.003032646,0.0002318007,0.0007097275,0.00349673,0.01113021,0.9701553,0.00008868663],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001481231,0.9976996,0.0006765399,0.0006666261,0.0001751082,0.000004784985,0.000027749,0.0000117568,0.0005897268],"genre_scores_gemma":[0.001734986,0.9952278,0.001129712,0.0006608446,0.0005586654,0.00001363889,0.00004876957,0.000004528195,0.0006210229],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002573376,"threshold_uncertainty_score":0.008260846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.249895488192386,"score_gpt":0.480177264616496,"score_spread":0.23028177642411,"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."}}