{"id":"W3217528949","doi":"10.1145/3487027.3487034","title":"Gastrointestinal Image Classification based on Convolutional Neural Network","year":2021,"lang":"en","type":"article","venue":"","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Convolutional neural network; Computer science; Artificial intelligence; Contextual image classification; Economic shortage; Transfer of learning; Recall; Pattern recognition (psychology); Image (mathematics); Machine learning","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":[0.0002813122,0.0005834633,0.0003914549,0.0006059408,0.000178792,0.0004305799,0.0006881816,0.0005566454,0.001415326],"category_scores_gemma":[0.0006632496,0.0001936169,0.0004514234,0.0003965187,0.0002001191,0.0005899373,0.0003262165,0.0005436878,0.0004336727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000640813,"about_ca_system_score_gemma":0.0004809221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01380333,"about_ca_topic_score_gemma":0.01238719,"domain_scores_codex":[0.9998608,0.00001628219,0.000007586727,0.0000442428,0.00003313753,0.00003792691],"domain_scores_gemma":[0.9998203,0.00005128132,0.00002241337,0.00001868917,0.00007389548,0.00001348366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004926015,0.0004144581,0.01266612,0.0001346609,0.0001833441,0.0003777124,0.00006434321,0.2795822,0.04124206,0.002957419,0.008285377,0.6535997],"study_design_scores_gemma":[0.000003078661,0.0000252682,0.001107711,0.000004212572,0.0000145389,0.00003471798,0.0000032439,0.9947236,0.003371797,0.0004309809,0.0002757847,0.000005166404],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3909699,0.003535606,0.5875253,0.001058213,0.0003672817,0.0001422784,0.0007012613,0.006059938,0.009640242],"genre_scores_gemma":[0.9496335,0.0006059154,0.0427715,0.0001908107,0.0000715208,0.00004128354,0.0005901012,0.00004551574,0.006049636],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01380333,"threshold_uncertainty_score":0.02744597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03051939463650881,"score_gpt":0.2782681081179574,"score_spread":0.2477487134814486,"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."}}