{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001264669,0.0002260292,0.0005831658,0.00009692192,0.00004598434,0.00001688237,0.000411597,0.0001261333,0.00006301243],"category_scores_gemma":[0.00001495913,0.000195639,0.0003296715,0.0000995745,0.0002381801,0.0003008202,0.00003183606,0.0001225581,5.186353e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000712804,"about_ca_system_score_gemma":0.000277111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003160605,"about_ca_topic_score_gemma":0.000003067518,"domain_scores_codex":[0.9984334,0.0001035178,0.0008231266,0.0002604469,0.0001596795,0.0002199021],"domain_scores_gemma":[0.9967333,0.0004207492,0.001724128,0.0001791256,0.0008582251,0.00008448288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004025646,0.001918392,0.8488076,0.00001816464,0.0007642119,6.289025e-7,0.003402082,0.001138348,0.03206578,0.001174775,0.0002193745,0.1100881],"study_design_scores_gemma":[0.02691961,0.01427196,0.07529321,0.0003376714,0.0006631474,0.00001538546,0.001208759,0.03981394,0.802923,0.02706229,0.01019038,0.001300602],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6714357,0.000151109,0.3266849,0.0001192953,0.0004518277,0.0007415582,0.0002531527,0.00001152228,0.0001509115],"genre_scores_gemma":[0.973575,0.0001192212,0.02497811,0.00005448492,0.0007669876,0.0004158667,0.00004064907,0.00002618949,0.0000234998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7735144,"threshold_uncertainty_score":0.7977929,"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."}}