{"id":"W4393002540","doi":"10.1016/j.xjon.2024.03.002","title":"Thoracic aortic surgery in low- and middle-income countries: Time to bridge the gap?","year":2024,"lang":"en","type":"editorial","venue":"JTCVS Open","topic":"Aortic Disease and Treatment Approaches","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Bridge (graph theory); Cardiothoracic surgery; Medicine; Low and middle income countries; Aortic repair; Surgery; Cardiology; Economics; Developing country; Aorta; Economic growth","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007711854,0.0003909731,0.0009306085,0.0002024117,0.00007715629,0.0004132223,0.0003530436,0.0003433511,0.000468674],"category_scores_gemma":[0.0005554591,0.000248936,0.0001466561,0.0003569987,0.00009924961,0.0001401835,0.0005330906,0.0004802411,0.002862988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000187856,"about_ca_system_score_gemma":0.000882955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004437439,"about_ca_topic_score_gemma":0.00005989814,"domain_scores_codex":[0.9977107,0.00008339255,0.0005134623,0.0006507408,0.0006324245,0.0004092757],"domain_scores_gemma":[0.9977263,0.001173615,0.0001117036,0.0006593934,0.00007133801,0.0002577005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006216128,0.0001494694,0.002845741,0.001997998,0.0003822187,0.0007048712,0.0003298752,2.971273e-7,2.787904e-7,0.0000147492,0.9920807,0.0008721342],"study_design_scores_gemma":[0.001014805,0.0002103696,0.01457869,0.01469204,0.001767694,0.0000175451,0.00008765983,0.00008237944,0.00001346631,0.0003583559,0.9665636,0.0006133803],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.2478387,0.0144169,0.000004419214,0.01734974,0.6529717,0.01503409,0.001950591,0.000413911,0.05001993],"genre_scores_gemma":[0.08376039,0.001370054,0.0001041637,0.001480697,0.7191755,0.002189279,0.002430432,0.0004293604,0.1890601],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1640783,"threshold_uncertainty_score":0.9999963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03830983751722492,"score_gpt":0.3365611275792473,"score_spread":0.2982512900620224,"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."}}