{"id":"W4385763740","doi":"10.24963/ijcai.2023/706","title":"AI-Assisted Tool for Early Diagnosis and Prevention of Colorectal Cancer in Africa","year":2023,"lang":"en","type":"article","venue":"","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Colonoscopy; Colorectal cancer; Artificial intelligence; Segmentation; Medicine; Computer science; Cancer; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006301777,0.00110069,0.0005071437,0.00254307,0.0005781997,0.0008876514,0.0006987859,0.0008642677,0.004160183],"category_scores_gemma":[0.003467703,0.000197142,0.0006026102,0.001098023,0.0001731247,0.001259754,0.001211586,0.0005840951,0.002066455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006086482,"about_ca_system_score_gemma":0.0009332689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01102946,"about_ca_topic_score_gemma":0.01566025,"domain_scores_codex":[0.9994637,0.000133282,0.00004626409,0.0001653652,0.0001001546,0.00009123385],"domain_scores_gemma":[0.9992135,0.0003024199,0.0001215661,0.0000766412,0.0002093711,0.00007649473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00137527,0.0004937729,0.0702614,0.002881669,0.000218349,0.00220886,0.0009907486,0.01326418,0.02902242,0.00265177,0.106916,0.7697156],"study_design_scores_gemma":[0.0003724104,0.001242949,0.1439249,0.002152586,0.0004657912,0.004477107,0.00476116,0.3616748,0.08496977,0.01302577,0.3826312,0.00030167],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4884723,0.02709809,0.2639124,0.01187454,0.001451562,0.002763354,0.1055514,0.05161446,0.04726167],"genre_scores_gemma":[0.6351927,0.006519839,0.2691097,0.002074388,0.0002552827,0.001042895,0.07294588,0.0005432937,0.01231607],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01102946,"threshold_uncertainty_score":0.02193052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03842770000753006,"score_gpt":0.3210498883498468,"score_spread":0.2826221883423168,"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."}}