{"id":"W2017755844","doi":"10.1118/1.2820631","title":"Semiautomatic vertebrae visualization, detection, and identification for online palliative radiotherapy of bone metastases of the spinea)","year":2007,"lang":"en","type":"article","venue":"Medical Physics","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre","funders":"Elekta","keywords":"Visualization; Identification (biology); Radiation therapy; Medicine; Radiology; Medical imaging; Medical physics; Computer science; Artificial intelligence; Biology","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":[0.000437389,0.00006744127,0.0001929829,0.00003140452,0.00003368465,0.000004055665,0.00007023209,0.00003834825,0.00001282445],"category_scores_gemma":[0.0004575984,0.00004804639,0.00006534942,0.0002999315,0.0001221827,0.00003637085,0.000008350004,0.00007284796,2.041809e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001523189,"about_ca_system_score_gemma":0.00001549912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009324233,"about_ca_topic_score_gemma":0.000009743486,"domain_scores_codex":[0.9991696,0.00002292443,0.0003377528,0.00007647933,0.0003073054,0.0000858842],"domain_scores_gemma":[0.9994746,0.0001750756,0.00009241245,0.0001181472,0.00008231404,0.0000574607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002011965,0.0006660909,0.006236263,0.002692871,0.0009989494,0.000001475166,0.002159465,0.002659958,0.1740467,0.001694293,0.002002249,0.8068215],"study_design_scores_gemma":[0.0007691411,0.00003053125,0.0124182,0.0002023387,0.0001870655,0.000001122329,0.0001021816,0.6516451,0.3318058,0.002244599,0.0004740506,0.0001198566],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.217094,0.0004229911,0.7821803,0.00008546989,0.00008435708,0.00008263579,0.00001480781,0.00002926108,0.000006132024],"genre_scores_gemma":[0.9989675,0.0001148704,0.0006901527,0.0000686157,0.000110287,0.000004359614,0.00001978664,0.00001167291,0.0000128005],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8067017,"threshold_uncertainty_score":0.1959275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01169957939278831,"score_gpt":0.2917823668153824,"score_spread":0.2800827874225941,"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."}}