{"id":"W2084437175","doi":"10.1016/j.ijrobp.2013.06.2048","title":"Predictive Parameters of CyberKnife Fiducial-less (XSight Lung) Applicability for Treatment of Early Non-Small Cell Lung Cancer: A Single-Center Experience","year":2013,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":85,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hôpital Maisonneuve-Rosemont; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Medicine; Lung cancer; Fiducial marker; Lung; Radiology; Cyberknife; Nuclear medicine; Diaphragm (acoustics); Stage (stratigraphy); Radiography; Body mass index; Radiosurgery; Radiation therapy; Internal medicine","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":[0.001127397,0.0004273923,0.0005662924,0.0004079333,0.0001721159,0.0008225482,0.0004536856,0.0003189782,0.0008375719],"category_scores_gemma":[0.002995614,0.0002091819,0.000440419,0.0003476264,0.0003077753,0.000534045,0.0003966453,0.0004071896,0.0002267401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003979833,"about_ca_system_score_gemma":0.0003260759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001752453,"about_ca_topic_score_gemma":0.001765839,"domain_scores_codex":[0.9996293,0.0001039824,0.00002977006,0.00009201701,0.0001008923,0.00004395259],"domain_scores_gemma":[0.9989169,0.0005710323,0.0001787012,0.0001202625,0.0001243283,0.00008874606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006350107,0.0005923677,0.7394789,0.0001189425,0.0001983043,0.0006629463,0.0005416737,0.03893451,0.02833048,0.0001881853,0.0008506001,0.183753],"study_design_scores_gemma":[0.0001501441,0.005052525,0.8909159,0.00003188869,0.0005570146,0.001560215,0.0003421051,0.07255163,0.02664555,0.0003273421,0.001784763,0.00008097179],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996713,0.0004596147,0.002311636,0.00001484873,0.000008461642,0.00001869249,0.0001341111,0.00004223102,0.0002973578],"genre_scores_gemma":[0.9990631,0.0001186756,0.0005509988,0.000006693266,0.000005498163,0.000005101217,0.0001428468,0.00001687323,0.00009022828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001752453,"threshold_uncertainty_score":0.005962312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734177279943874,"score_gpt":0.3206080599727387,"score_spread":0.3032662871733,"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."}}