{"id":"W2731263241","doi":"10.1111/ctr.13027","title":"The role of biomechanical anatomical modeling via computed tomography for identification of restrictive allograft syndrome","year":2017,"lang":"en","type":"article","venue":"Clinical Transplantation","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"Toshiba Medical Systems","keywords":"Medicine; Identification (biology); Computed tomography; Biomechanics; Radiology; Anatomy","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":[0.0013181,0.0004263692,0.0002932903,0.001053616,0.0001675319,0.0007489831,0.000268984,0.0003176105,0.0006872051],"category_scores_gemma":[0.002635823,0.0002047912,0.000211656,0.0003205955,0.0004070276,0.0005304291,0.0004642734,0.0001961176,0.0001703975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001876966,"about_ca_system_score_gemma":0.0002316835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008635125,"about_ca_topic_score_gemma":0.001434136,"domain_scores_codex":[0.9994835,0.0003135779,0.00003547565,0.00004859261,0.00009558762,0.00002322024],"domain_scores_gemma":[0.9989766,0.0005034371,0.0002084632,0.0001523767,0.00009580876,0.00006320222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004628473,0.0001411609,0.9246197,0.00004034458,0.00005090821,0.0004207777,0.0001397329,0.003560562,0.01285418,0.0002705361,0.0001561362,0.05728295],"study_design_scores_gemma":[0.00002610405,0.001077125,0.8830922,0.00007919897,0.0001233396,0.005226671,0.0004513013,0.09926091,0.009112843,0.0006019348,0.0009097751,0.00003853281],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901574,0.0006430878,0.008303637,0.00007079898,0.000006595287,0.00002368142,0.0000769161,0.00004670121,0.0006711602],"genre_scores_gemma":[0.9961393,0.0002001414,0.003510591,0.00001087493,0.00000625916,0.000007785403,0.00004704334,0.000005900789,0.00007208459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0013181,"threshold_uncertainty_score":0.006970823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06198838113514549,"score_gpt":0.403752091609392,"score_spread":0.3417637104742465,"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."}}