{"id":"W2512996524","doi":"10.1016/s0167-8140(16)32559-2","title":"EP-1309: Predictive value of FDG-PET in rectal cancer: correlation with tumour characteristics and response.","year":2016,"lang":"en","type":"article","venue":"Radiotherapy and Oncology","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Predictive value; Medicine; Colorectal cancer; Correlation; Nuclear medicine; Oncology; Cancer; Internal medicine; 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":[0.0003394964,0.0002483501,0.0002622163,0.0004226259,0.0001147656,0.0004378235,0.0003180826,0.0005189998,0.003035559],"category_scores_gemma":[0.002309287,0.000100177,0.0002103579,0.0005028941,0.0002098195,0.0002914323,0.0002259439,0.0006132754,0.0008697987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001900743,"about_ca_system_score_gemma":0.0001343484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000719547,"about_ca_topic_score_gemma":0.0009171313,"domain_scores_codex":[0.9998846,0.00003769537,0.00001302069,0.00001999608,0.00002593341,0.00001873499],"domain_scores_gemma":[0.9992957,0.0003317872,0.0001618898,0.000030166,0.00007815798,0.0001022839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006676181,0.0002076926,0.9294125,0.0001248525,0.0002152056,0.001557468,0.00004448826,0.001229824,0.01611033,0.0001745123,0.001468603,0.04277822],"study_design_scores_gemma":[0.00005512007,0.0004984756,0.9879099,0.00002872375,0.0001427216,0.00292219,0.00005585945,0.002527514,0.003650863,0.0002698811,0.001926519,0.00001218233],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925016,0.002561855,0.0003789839,0.0002293066,0.00003984687,0.0000177871,0.0007619922,0.00002430222,0.003484176],"genre_scores_gemma":[0.9975644,0.0004337221,0.0003043907,0.0000521317,0.00003623034,0.000007956526,0.0007933701,0.000007656132,0.0008001089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003035559,"threshold_uncertainty_score":0.0101549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006592885866899868,"score_gpt":0.2959054987453753,"score_spread":0.2893126128784754,"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."}}