{"id":"W2007368961","doi":"10.1016/j.ijrobp.2005.07.591","title":"Image Fusion and Tomotherapy Treatment Planning for ca. Cervix","year":2005,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Tomotherapy; Medicine; Radiation treatment planning; Nuclear medicine; Cervical cancer; Image registration; Image fusion; Radiology; Medical physics; Radiation therapy; Cancer; Artificial intelligence; Computer science; Image (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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002576731,0.0002798191,0.0003423386,0.0007521395,0.0005087747,0.0007530133,0.0003880718,0.0006243634,0.004211089],"category_scores_gemma":[0.001539359,0.0004539577,0.0007782295,0.0008034069,0.0002224344,0.0004432593,0.0005204014,0.0004686798,0.000598717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001053271,"about_ca_system_score_gemma":0.00139831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01768079,"about_ca_topic_score_gemma":0.01339689,"domain_scores_codex":[0.9998685,0.00002460225,0.000009345043,0.00002581024,0.00004711859,0.00002467558],"domain_scores_gemma":[0.9998528,0.00006155814,0.00002934978,0.00001849887,0.000026344,0.00001146437],"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":[0.003050994,0.0002223805,0.03610623,0.0006579201,0.0002225882,0.001808681,0.0007521674,0.2921937,0.2325851,0.00941739,0.01072513,0.4122576],"study_design_scores_gemma":[0.0003037941,0.0008976031,0.09876155,0.0001210143,0.0005167897,0.008472833,0.0003174963,0.6692899,0.1834427,0.01102752,0.02666604,0.000182674],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5160837,0.009164134,0.421296,0.002778119,0.0003485214,0.0006602699,0.003234251,0.003129083,0.04330584],"genre_scores_gemma":[0.9028089,0.0006639069,0.09280214,0.0001191662,0.00003828906,0.0001241567,0.0003835874,0.0002453387,0.002814427],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01768079,"threshold_uncertainty_score":0.03515577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03256503816554265,"score_gpt":0.3780814326114735,"score_spread":0.3455163944459309,"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."}}