{"id":"W2030421206","doi":"10.1016/j.ijrobp.2008.06.079","title":"Deformable Registration and Dose Accumulation to Investigate Marginal Liver Cancer Recurrences","year":2008,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Medicine; Image registration; Image-guided radiation therapy; Radiation treatment planning; Nuclear medicine; Liver cancer; Radiation therapy; Radiology; Cancer; Image (mathematics); Artificial intelligence; Internal medicine; Computer science","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":[0.0009425024,0.0005432718,0.0006366476,0.001666632,0.0002793904,0.0008460302,0.000688379,0.0006682329,0.001748155],"category_scores_gemma":[0.003714738,0.0005864545,0.0008339956,0.001366655,0.0003083733,0.000869061,0.0006191847,0.0007072112,0.000490104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007168162,"about_ca_system_score_gemma":0.0007670245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003727356,"about_ca_topic_score_gemma":0.003999699,"domain_scores_codex":[0.9996654,0.00008051502,0.00003439621,0.00006613984,0.0001198242,0.00003377815],"domain_scores_gemma":[0.9991855,0.0003203027,0.0001907696,0.0001582424,0.0001080898,0.00003713966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003610248,0.0003870511,0.04005313,0.0007514893,0.0006114327,0.000828427,0.0008230752,0.1508442,0.3906643,0.003104213,0.001709206,0.4066132],"study_design_scores_gemma":[0.0001299004,0.0007796345,0.05975098,0.00006256631,0.0006243205,0.002833321,0.0002283845,0.7406899,0.1878434,0.002498221,0.004435025,0.0001243216],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6092001,0.003199243,0.3782156,0.0004834477,0.00009127609,0.0003430021,0.00064467,0.002741983,0.005080551],"genre_scores_gemma":[0.9091644,0.0005518945,0.08667402,0.00007883896,0.00002247958,0.00007772801,0.0003512363,0.0007109813,0.002368475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003727356,"threshold_uncertainty_score":0.007411301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04366659593969818,"score_gpt":0.3669421273736682,"score_spread":0.32327553143397,"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."}}