{"id":"W4390538848","doi":"10.3390/medicina60010089","title":"From Staining Techniques to Artificial Intelligence: A Review of Colorectal Polyps Characterization","year":2024,"lang":"en","type":"review","venue":"Medicina","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Computer science; Artificial intelligence; Chromoendoscopy; Virtual colonoscopy; Characterization (materials science); Colorectal Polyp; Colonoscopy; Medicine; Medical physics; Colorectal cancer; Nanotechnology; 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":[0.0007587105,0.001105869,0.001639281,0.004724015,0.0003676002,0.001374015,0.001052778,0.00138854,0.003492616],"category_scores_gemma":[0.001770771,0.0004331252,0.0009563381,0.004845449,0.0009519718,0.001986526,0.0007669704,0.00157283,0.001507777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007730014,"about_ca_system_score_gemma":0.001234372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001755102,"about_ca_topic_score_gemma":0.001916122,"domain_scores_codex":[0.9995707,0.00008622343,0.00008830588,0.00008307572,0.0001459082,0.00002589922],"domain_scores_gemma":[0.9989028,0.0007567062,0.0001020175,0.00002800598,0.0001756251,0.00003481467],"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":[0.00004748891,0.0000670982,0.0002509802,0.04902688,0.0001465462,0.0002207244,0.0001245746,0.0004957605,0.001029534,0.004025393,0.01915604,0.925409],"study_design_scores_gemma":[0.00001559244,0.0001554595,0.001641009,0.01366001,0.0002715715,0.002231021,0.0001556597,0.000294479,0.0007471828,0.003615134,0.9771569,0.00005585785],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008025049,0.9986899,0.0002346023,0.000163686,0.000139545,0.000004330046,0.00001027688,0.000006548303,0.0006708535],"genre_scores_gemma":[0.0005887502,0.9984139,0.0003857031,0.0001551416,0.0001827445,0.000007514751,0.00002060272,0.000002050126,0.0002435287],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004724015,"threshold_uncertainty_score":0.011684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06542235475775623,"score_gpt":0.3954455597071148,"score_spread":0.3300232049493586,"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."}}