{"id":"W1964091110","doi":"10.1016/j.athoracsur.2014.04.111","title":"Preoperative Assessment of Chest Wall Invasion in Non-Small Cell Lung Cancer Using Surgeon-Performed Ultrasound","year":2014,"lang":"en","type":"article","venue":"The Annals of Thoracic Surgery","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Canada Foundation for Innovation","keywords":"Medicine; Thoracic wall; Radiology; Lung cancer; Prospective cohort study; Ultrasound; Stage (stratigraphy); Cardiothoracic surgery; Rib cage; Parietal Pleura; Surgery; Lung; Internal medicine","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":[0.0006415062,0.0003521598,0.0002996509,0.001311791,0.0002261194,0.0006643127,0.0002057285,0.000579451,0.0008228288],"category_scores_gemma":[0.003218653,0.0003029096,0.0003280891,0.0004757336,0.0003393349,0.0008113802,0.0003964418,0.0004044117,0.0002089678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001926653,"about_ca_system_score_gemma":0.0004635743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001235348,"about_ca_topic_score_gemma":0.003967558,"domain_scores_codex":[0.9996485,0.0001024278,0.00007220151,0.00003519216,0.00008083147,0.00006091514],"domain_scores_gemma":[0.998703,0.0005347203,0.0002002734,0.0000581315,0.0002974084,0.0002064773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005166371,0.00006367983,0.9741682,0.00005302756,0.00004178097,0.002376151,0.000160023,0.0002872935,0.008320554,0.00003287819,0.000203291,0.01377648],"study_design_scores_gemma":[0.00002126525,0.0006853762,0.9738065,0.00005401261,0.0001594381,0.01226477,0.001119564,0.006168122,0.004826296,0.00009888982,0.0007647029,0.00003105048],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957083,0.0009351837,0.00118627,0.0001194368,0.00003021422,0.00002133171,0.00007848087,0.00002747035,0.001893217],"genre_scores_gemma":[0.997898,0.000382475,0.001438782,0.00002721724,0.00003320917,0.000006023812,0.00007710406,0.000003403951,0.0001337726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001311791,"threshold_uncertainty_score":0.003392696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08259140374832648,"score_gpt":0.3979839316827773,"score_spread":0.3153925279344508,"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."}}