{"id":"W3037678555","doi":"10.22215/etd/2006-06480","title":"Investigating geometric uncertainties in prostate cancer radiotherapy","year":2006,"lang":"en","type":"dissertation","venue":"","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Canadian Heritage","funders":"","keywords":"Prostate cancer; Medicine; Cancer; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002414224,0.0006029138,0.0006126483,0.001394124,0.0004186212,0.001808108,0.0007440934,0.00086516,0.002908697],"category_scores_gemma":[0.01533769,0.0007456938,0.0008149648,0.001614912,0.0006584015,0.000999975,0.001309598,0.0006968902,0.0005664803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002033496,"about_ca_system_score_gemma":0.001037355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007623774,"about_ca_topic_score_gemma":0.006825788,"domain_scores_codex":[0.9978918,0.0006765715,0.00007189874,0.0002522501,0.00100243,0.0001050215],"domain_scores_gemma":[0.9941661,0.004499917,0.0005063821,0.0002681032,0.0004803941,0.00007906447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003092884,0.00003984858,0.01208963,0.0002628772,0.0001422179,0.000153732,0.000283605,0.8924081,0.007492437,0.008491323,0.001372769,0.07695424],"study_design_scores_gemma":[0.00002603377,0.0004198785,0.03559005,0.0001111689,0.0001679369,0.0006236192,0.0005045367,0.9141289,0.0190444,0.01897418,0.01026754,0.00014178],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4715045,0.02006537,0.4627522,0.002517902,0.0003612842,0.0002800826,0.001494416,0.00133145,0.03969273],"genre_scores_gemma":[0.9487241,0.002822578,0.04197808,0.0001372654,0.00008494668,0.00004640551,0.0008483452,0.0004113363,0.004946983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007623774,"threshold_uncertainty_score":0.01515877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008548406318743254,"score_gpt":0.2985127490519678,"score_spread":0.2899643427332246,"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."}}