{"id":"W3199064692","doi":"","title":"Improved artefact reduction in optical computed tomography based brachytherapy gel dosimetry using a dual catheter system","year":2018,"lang":"en","type":"article","venue":"Journal of Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Dosimetry; Brachytherapy; Computed tomography; Reduction (mathematics); Nuclear medicine; Medicine; Medical physics; Catheter; Dual (grammatical number); Radiology; Radiation therapy; Mathematics","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":[0.0005364122,0.0001910352,0.0004232729,0.0001561009,0.00006836646,0.00003670189,0.0002301626,0.0001171435,0.00006514577],"category_scores_gemma":[0.000008429437,0.0001552452,0.000250087,0.0004059003,0.0002141741,0.0002438986,0.00002288022,0.0006201404,7.877963e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001251994,"about_ca_system_score_gemma":0.0002055448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003159264,"about_ca_topic_score_gemma":2.84249e-7,"domain_scores_codex":[0.9982021,0.0001120068,0.0005870505,0.0001794201,0.0006426949,0.0002767341],"domain_scores_gemma":[0.9989433,0.00008224701,0.0004126303,0.0001910686,0.0001638092,0.0002069792],"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":[0.002088192,0.008169468,0.0484602,0.0003064893,0.001869316,0.0002268307,0.002464374,0.001796042,0.3816135,0.01284708,0.001646817,0.5385116],"study_design_scores_gemma":[0.01061171,0.003374976,0.002518133,0.002090284,0.0001996368,0.0003305847,0.0005178733,0.6509522,0.319162,0.008103262,0.0009706037,0.001168755],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3824871,0.00004021691,0.6168274,0.0001240164,0.0003444052,0.000104567,0.000003244945,0.00002566365,0.00004333976],"genre_scores_gemma":[0.9650527,0.00000258929,0.03124086,0.00009897214,0.003566631,0.000002716553,0.000002684355,0.00003149327,0.000001309155],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6491562,"threshold_uncertainty_score":0.6330715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01279707042100866,"score_gpt":0.2975889737332145,"score_spread":0.2847919033122059,"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."}}