{"id":"W4320030003","doi":"10.4274/atfm.galenos.2023.48569","title":"Artificial Intelligence Applications in Thoracic Surgery","year":2022,"lang":"en","type":"article","venue":"Journal of Ankara University Faculty of Medicine","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Cardiothoracic surgery; Medicine; Computer science; Surgery; General 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001205418,0.00008141188,0.0004090177,0.0007137531,0.0001335075,0.00000171733,0.0001621157,0.00004624277,0.000438992],"category_scores_gemma":[0.0002546612,0.00007375769,0.0001194669,0.0009249958,0.0001966657,0.0001042449,0.00003671652,0.0004302309,0.000003129845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002750443,"about_ca_system_score_gemma":0.000462298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003927142,"about_ca_topic_score_gemma":0.00003691144,"domain_scores_codex":[0.9984624,0.0001123575,0.0006819099,0.0001126381,0.0004847801,0.0001458977],"domain_scores_gemma":[0.9985012,0.0003384921,0.0004997439,0.0001356851,0.0003896263,0.0001352301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.003943402,0.002391925,0.1952707,0.0005115499,0.0001827733,0.0005673573,0.02343994,0.001945416,0.004885048,0.004523472,0.01351355,0.7488248],"study_design_scores_gemma":[0.0003883045,0.006870304,0.0981848,0.001621818,0.0009504238,0.001696389,0.6580021,0.001530136,0.03500196,0.01955727,0.1754665,0.000729926],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786535,0.0002886546,0.003767949,0.01635354,0.0002909593,0.000215697,0.00001186982,0.000007692704,0.0004101175],"genre_scores_gemma":[0.9988074,0.0001927499,0.0004250937,0.0001598974,0.0002187415,6.585303e-7,0.00003116683,0.00000502176,0.0001592844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7480949,"threshold_uncertainty_score":0.4806655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.225710066920203,"score_gpt":0.4238537275340702,"score_spread":0.1981436606138672,"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."}}