{"id":"W4313495964","doi":"10.1109/acit57182.2022.9994181","title":"Pancreatic Tumor Detection by Convolutional Neural Networks","year":2022,"lang":"en","type":"article","venue":"2022 International Arab Conference on Information Technology (ACIT)","topic":"AI in cancer detection","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Pancreatic cancer; Convolutional neural network; Artificial intelligence; Computer science; Medical imaging; Cancer; Process (computing); Deep learning; Cancer detection; Computed tomography; Medicine; Radiology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000341819,0.0002338177,0.0001937654,0.0008752311,0.0006163628,0.000206764,0.001631764,0.0001158581,0.0008490423],"category_scores_gemma":[0.0001010332,0.0002649226,0.00008316042,0.0009582122,0.0001383132,0.001829567,0.0006300829,0.000907722,0.0001200034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009241226,"about_ca_system_score_gemma":0.0001048013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003374902,"about_ca_topic_score_gemma":0.000006205687,"domain_scores_codex":[0.9977744,0.00008907467,0.0005875746,0.0003776021,0.0008285641,0.0003427596],"domain_scores_gemma":[0.9985845,0.00007029843,0.0004925395,0.0004635109,0.0003242812,0.00006488605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002322682,0.0001884277,0.001108619,0.00001622898,0.0001818174,0.00001384356,0.0004090129,0.04860861,0.002473444,0.61423,0.01321826,0.3193194],"study_design_scores_gemma":[0.0005920126,0.0003671075,0.000369026,0.000007226989,0.000006307029,0.0002012027,0.0002763126,0.955548,0.001804518,0.008532546,0.03201796,0.0002777913],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0238758,0.00006299029,0.9589081,0.007074722,0.003650638,0.0004027614,0.00009337562,0.0009692849,0.004962362],"genre_scores_gemma":[0.995831,0.00002344474,0.001164231,0.001744782,0.00006969097,0.0007110895,0.0001443528,0.0000101235,0.0003013012],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9719552,"threshold_uncertainty_score":0.9999803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007503623571780644,"score_gpt":0.2160305006080841,"score_spread":0.2085268770363034,"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."}}