{"id":"W3036358917","doi":"10.1016/j.gie.2020.03.3752","title":"Through-the-needle biopsy of pancreas cysts: Who, what, where, when, and mostly… why?","year":2020,"lang":"en","type":"letter","venue":"Gastrointestinal Endoscopy","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Medicine; Endoscopic ultrasound; Cyst; Biopsy; Sampling (signal processing); Radiology; Endoscopy; Meta-analysis; Prospective cohort study; Pancreas; General surgery; Pancreatic cyst; Fine-needle aspiration; Surgery; Pathology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0003826022,0.0006516568,0.001884614,0.000155418,0.0001641386,0.0001079323,0.0004844768,0.00034525,0.0006956954],"category_scores_gemma":[0.001120562,0.0004727894,0.0002728516,0.0003129824,0.001300381,0.0002428452,0.0002941753,0.002861895,0.00008554657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001345383,"about_ca_system_score_gemma":0.0006568327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007273678,"about_ca_topic_score_gemma":0.0000157082,"domain_scores_codex":[0.9959942,0.0004158714,0.0008759333,0.0008224992,0.0009408011,0.0009506585],"domain_scores_gemma":[0.9964501,0.001613201,0.0004769829,0.0008177643,0.0003957794,0.0002461394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009275003,0.00008672074,0.02059872,0.00181043,0.0002940103,0.00350803,0.0004931009,2.707552e-7,0.004406189,0.0002109848,0.9674511,0.0002129443],"study_design_scores_gemma":[0.008445805,0.009068803,0.004319125,0.01600012,0.003184063,0.08067994,0.002400699,0.0006072993,0.0005215143,0.006134964,0.867502,0.001135677],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.006267001,0.004280627,0.004837005,0.9760521,0.0002475454,0.001500085,0.0001498523,0.0001379756,0.006527802],"genre_scores_gemma":[0.00203734,0.002745877,0.246522,0.73015,0.006130654,0.0003324803,0.0006014831,0.0003679964,0.01111212],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.245902,"threshold_uncertainty_score":0.9997724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03640447620439143,"score_gpt":0.3095446611270336,"score_spread":0.2731401849226422,"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."}}