{"id":"W2512132827","doi":"10.1594/ecr2013/c-2650","title":"'Pan' Modality Imaging of the Pancreas and Pathologies.","year":2013,"lang":"en","type":"article","venue":"European Society of Radiology","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Studies","funders":"","keywords":"Modality (human–computer interaction); Pancreas; Medicine; Nuclear medicine; Radiology; Computer science; Artificial intelligence; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001052289,0.001341541,0.0007271549,0.001502694,0.0005924056,0.001167622,0.0006000586,0.002486732,0.06565157],"category_scores_gemma":[0.001244942,0.000554763,0.0008161573,0.0005830281,0.0007058211,0.001968452,0.001171025,0.002602106,0.01701708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005138262,"about_ca_system_score_gemma":0.0006707381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008431644,"about_ca_topic_score_gemma":0.002474899,"domain_scores_codex":[0.999736,0.00004571636,0.00002544756,0.00005734713,0.00007551002,0.00005985503],"domain_scores_gemma":[0.9995802,0.00009470623,0.00003210328,0.0000400016,0.0001261257,0.0001269764],"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":[0.001472112,0.0002255751,0.004604998,0.001787122,0.0001860029,0.01450663,0.00006683235,0.0003843762,0.02604318,0.003089687,0.4086537,0.5389797],"study_design_scores_gemma":[0.0002770804,0.0007259763,0.01971633,0.001310826,0.0003494552,0.1527926,0.0001098952,0.001765406,0.02403186,0.005169659,0.7936547,0.00009615078],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03490376,0.2331114,0.04187285,0.04548298,0.02085554,0.0005960924,0.002669079,0.004302914,0.6162054],"genre_scores_gemma":[0.2955442,0.165892,0.07876366,0.02193752,0.03839215,0.0004418667,0.005268354,0.002290804,0.3914694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06565157,"threshold_uncertainty_score":0.2196264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02431131179995659,"score_gpt":0.29080187199862,"score_spread":0.2664905601986634,"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."}}