{"id":"W4402132879","doi":"10.1093/dote/doae057.349","title":"680. P02.06 MATTERHORN PCR BY REGION","year":2024,"lang":"en","type":"article","venue":"Diseases of the Esophagus","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Medicine; Computational biology; Virology","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":[0.003388152,0.0003947263,0.000983731,0.001008704,0.0002131,0.001398174,0.001112052,0.0009890072,0.186311],"category_scores_gemma":[0.008641858,0.0003032592,0.001782572,0.001323207,0.0003170061,0.0006971499,0.0007535366,0.0008229712,0.03550385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009389933,"about_ca_system_score_gemma":0.002282689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002092072,"about_ca_topic_score_gemma":0.004149269,"domain_scores_codex":[0.9977576,0.001258763,0.0002983356,0.0001945034,0.0003470854,0.0001437297],"domain_scores_gemma":[0.9958504,0.001627269,0.001150613,0.0002246719,0.0008851952,0.0002618497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01163865,0.0001356065,0.001713733,0.09200373,0.001945935,0.0001402217,0.0001098108,0.0002372037,0.00294658,0.002971165,0.3166427,0.5695146],"study_design_scores_gemma":[0.01688214,0.002554803,0.009784683,0.04559481,0.003409074,0.0005944575,0.00011912,0.0002327374,0.00197387,0.002719071,0.9160925,0.00004266079],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01256659,0.6027082,0.004346853,0.02538787,0.005652219,0.006405731,0.09581357,0.001500922,0.2456181],"genre_scores_gemma":[0.2702548,0.4070797,0.01764059,0.06544229,0.00668214,0.01076947,0.04749006,0.001720221,0.1729209],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.186311,"threshold_uncertainty_score":0.6232723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004400174582075428,"score_gpt":0.2394002909967366,"score_spread":0.2350001164146611,"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."}}