{"id":"W2945340264","doi":"10.1055/s-0039-1681442","title":"THE POLYP-BASED RESECT-AND-DISCARD STRATEGY","year":2019,"lang":"en","type":"article","venue":"Endoscopy","topic":"Gastric Cancer Management and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal","funders":"","keywords":"Polypectomy; Computer science; Image (mathematics); Artificial intelligence; Clinical Practice; Pattern recognition (psychology); Computer vision; Medicine; Colonoscopy; Internal medicine; Cancer; Colorectal cancer","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":[0.004531061,0.001095229,0.001349061,0.0008327461,0.0004271757,0.001375734,0.001977648,0.001408131,0.002590312],"category_scores_gemma":[0.01327724,0.0004649205,0.001158032,0.0004543534,0.0006651047,0.001214523,0.0007554463,0.001481227,0.0009285251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001224931,"about_ca_system_score_gemma":0.002061142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005278874,"about_ca_topic_score_gemma":0.004551741,"domain_scores_codex":[0.9982798,0.0005792332,0.0001234824,0.0005929174,0.0002886943,0.000135868],"domain_scores_gemma":[0.9951544,0.002683514,0.0008827207,0.0004543034,0.000427621,0.000397454],"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":[0.008463091,0.002015088,0.1239394,0.0006407624,0.001183447,0.0005974653,0.0005956931,0.3813685,0.01085287,0.01485773,0.01127368,0.4442123],"study_design_scores_gemma":[0.0007215228,0.002696454,0.02166117,0.0001046799,0.0005904944,0.00101193,0.0001303831,0.9508424,0.004923268,0.01280741,0.0043869,0.0001234242],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5211528,0.002650417,0.4521978,0.005402191,0.0004587067,0.002126692,0.002244307,0.002711537,0.01105548],"genre_scores_gemma":[0.925578,0.0004873121,0.06717844,0.001147886,0.0001460625,0.0004616508,0.0008029877,0.0001389566,0.004058606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005278874,"threshold_uncertainty_score":0.0239628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01362945297790174,"score_gpt":0.2839692159325384,"score_spread":0.2703397629546367,"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."}}