{"id":"W3106278118","doi":"10.1016/b978-0-12-820348-4.00005-4","title":"Retractors for harvesting the internal thoracic artery","year":2020,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Retractor; Internal thoracic artery; Medicine; Artery; Bypass grafting; Mammary artery; Surgery","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":[0.000339179,0.0009961724,0.0002843116,0.001025206,0.0003372819,0.0006569145,0.000636766,0.0009293429,0.01907485],"category_scores_gemma":[0.0002566734,0.0003005358,0.0004772976,0.0004769528,0.0003335267,0.001534528,0.0004282634,0.001649436,0.009388164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002427031,"about_ca_system_score_gemma":0.0002255907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000251046,"about_ca_topic_score_gemma":0.001116328,"domain_scores_codex":[0.999878,0.000008244565,0.00001005618,0.00002479412,0.00006856042,0.00001033196],"domain_scores_gemma":[0.9998943,0.00005560739,0.00001262672,0.000011286,0.00001330584,0.00001281386],"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":[0.00009327743,0.000113458,0.0005178695,0.001075899,0.00004379537,0.003756797,0.0002536155,0.0006687205,0.1701734,0.007671293,0.0284609,0.7871711],"study_design_scores_gemma":[0.00003185849,0.0004779377,0.006409786,0.0009910666,0.00007973958,0.03945575,0.0001954747,0.002590272,0.0825278,0.00837024,0.8587924,0.00007769722],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0665361,0.2487377,0.2326953,0.004165068,0.01038874,0.0002012083,0.0005670104,0.002544017,0.4341649],"genre_scores_gemma":[0.09073496,0.09606254,0.0873279,0.002442336,0.005011286,0.0001173375,0.0006165133,0.0004573392,0.7172298],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01907485,"threshold_uncertainty_score":0.06381178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02322806251294906,"score_gpt":0.2755305006526288,"score_spread":0.2523024381396797,"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."}}