{"id":"W1987725898","doi":"10.1088/0031-9155/55/22/002","title":"Development of a geometrically accurate imaging protocol at 3 Tesla MRI for stereotactic radiosurgery treatment planning","year":2010,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital; Princess Margaret Cancer Centre; General Electric (Canada); University of Toronto; University Health Network","funders":"","keywords":"Imaging phantom; Radiosurgery; Magnetic resonance imaging; Fiducial marker; Nuclear medicine; Medical imaging; Radiation treatment planning; Medicine; Radiology; Radiation therapy","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":[0.000169183,0.000141483,0.0003323941,0.0001044437,0.00005577543,0.000002954305,0.00006724857,0.00002831695,0.00003002603],"category_scores_gemma":[0.00001409422,0.0000963885,0.00003125369,0.0001407776,0.0001172173,0.00004604398,0.00002791086,0.00009751193,1.501833e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003279232,"about_ca_system_score_gemma":0.0000453483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001858016,"about_ca_topic_score_gemma":0.0000013388,"domain_scores_codex":[0.9992456,0.00001760783,0.0002932705,0.0002095869,0.00003682615,0.0001970694],"domain_scores_gemma":[0.9993133,0.0003122523,0.000177062,0.0001228652,0.00003674344,0.00003776285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001540134,0.0002129775,0.3380745,0.00005237589,0.0001002524,0.000001356681,0.001213293,0.000005907923,0.209245,0.004481166,0.0001846123,0.4462745],"study_design_scores_gemma":[0.01936172,0.002299055,0.02119591,0.0005875799,0.0001252326,0.00002030195,0.0007736032,0.005301058,0.320181,0.05440766,0.5742061,0.001540793],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5067666,0.0001256936,0.4642629,0.0004289718,0.0002221493,0.02666389,0.00002781311,0.00006602311,0.001435918],"genre_scores_gemma":[0.8201111,0.00001033656,0.1423833,0.0001598029,0.0008463651,0.03627223,0.00007949127,0.00003921436,0.0000981693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5740215,"threshold_uncertainty_score":0.3930609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1373588339194078,"score_gpt":0.4381455991658517,"score_spread":0.300786765246444,"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."}}