{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001254592,0.00008079793,0.0001275907,0.00004139181,0.00006337997,0.00003746106,0.0000697062,0.00002400366,0.0002449129],"category_scores_gemma":[0.00002124513,0.00004915848,0.00004986093,0.000106147,0.0000393817,0.00003037307,0.00002755343,0.0001046588,0.0001594588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002508407,"about_ca_system_score_gemma":0.0000473852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006530325,"about_ca_topic_score_gemma":0.00001909832,"domain_scores_codex":[0.9993708,0.00001844201,0.0001018695,0.0001402451,0.0001757962,0.0001929133],"domain_scores_gemma":[0.9995418,0.00009635428,0.00003044915,0.0002622058,0.00001628079,0.00005293721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007960774,0.00004604796,0.931078,0.0001359461,0.0001490846,0.00003208695,0.0001079111,0.00002347315,0.002914689,0.006551513,0.03504612,0.0231191],"study_design_scores_gemma":[0.006715837,0.0009214872,0.6037579,0.00008392709,0.0001348994,0.000003996688,0.0005981441,0.0007571642,0.006442125,0.0003642617,0.3800139,0.0002063584],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9242857,0.001106686,0.00006569766,0.005113613,0.0004632508,0.0004882387,0.000002285551,0.00007420485,0.06840033],"genre_scores_gemma":[0.983771,0.00005573684,0.0001655709,0.0008424881,0.0001080528,0.00001165408,0.000004205032,0.00001104212,0.01503024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3449677,"threshold_uncertainty_score":0.2681625,"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."}}