{"id":"W2097250333","doi":"10.5430/jst.v2n4p38","title":"Double reading for gross tumor volume assessment in radiotherapy planning","year":2012,"lang":"en","type":"article","venue":"Journal of Solid Tumors","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Contouring; Concordance; Nuclear medicine; Medicine; Radiation treatment planning; Radiation therapy; Magnetic resonance imaging; Radiology; Medical physics; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01214698,0.0009561058,0.0006711998,0.001739673,0.0006033628,0.0008993719,0.001174803,0.0005414635,0.002503256],"category_scores_gemma":[0.02460647,0.0004349822,0.000584138,0.0008200887,0.001054838,0.0008785659,0.001328074,0.0009045605,0.0009613122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004931511,"about_ca_system_score_gemma":0.001201286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009661065,"about_ca_topic_score_gemma":0.002411495,"domain_scores_codex":[0.9879487,0.006642188,0.001046209,0.00101227,0.003154878,0.0001958085],"domain_scores_gemma":[0.9848444,0.007663675,0.002286336,0.002169773,0.002691216,0.0003446142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003041882,0.0002890973,0.197285,0.00158629,0.0004975696,0.002017244,0.002508762,0.006519754,0.1040365,0.00195378,0.004693316,0.6755708],"study_design_scores_gemma":[0.0005500838,0.005167498,0.598119,0.001117587,0.001026044,0.04506437,0.001619756,0.1342362,0.1537627,0.007734005,0.05103074,0.0005720791],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5376292,0.006850617,0.435379,0.0006125462,0.0006325995,0.001674082,0.0003612615,0.001849352,0.01501147],"genre_scores_gemma":[0.733731,0.0006835866,0.2630053,0.0001150982,0.0001435967,0.0004229067,0.0002374886,0.0003659494,0.001295034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01214698,"threshold_uncertainty_score":0.06424016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03455711466130557,"score_gpt":0.3693873721415898,"score_spread":0.3348302574802843,"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."}}