{"id":"W4289855872","doi":"10.3324/haematol.2022.281431","title":"Mass spectrometry-based proteomics in clinical practice amyloid typing: state-of-the-art from a French nationwide cohort","year":2022,"lang":"en","type":"article","venue":"Haematologica","topic":"Amyloidosis: Diagnosis, Treatment, Outcomes","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotel Dieu Hospital","funders":"Région Occitanie Pyrénées-Méditerranée; Agence Nationale de la Recherche","keywords":"Proteomics; Cohort; Mass spectrometry; Medicine; Amyloid (mycology); Cohort study; Computational biology; Internal medicine; Chemistry; Chromatography; Pathology; Biology","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":[0.0006850318,0.0002074577,0.000420462,0.00008040432,0.0001341723,0.00001852284,0.0004772187,0.0001318655,0.0001745955],"category_scores_gemma":[0.00189423,0.0001697,0.0002210929,0.0003474313,0.0001369348,0.000007308825,0.0003063601,0.0003261513,0.00002254718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007799076,"about_ca_system_score_gemma":0.0002316902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000122439,"about_ca_topic_score_gemma":0.00009775538,"domain_scores_codex":[0.9975744,0.0006006772,0.0006832044,0.0005585885,0.0002974253,0.0002856311],"domain_scores_gemma":[0.9983109,0.0003776822,0.0005221632,0.0006367368,0.00008891822,0.0000636586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002207279,0.0008104399,0.9772409,0.00001357711,0.0001957468,0.00005122732,0.00003195905,0.0004009479,0.01743032,0.0001376017,0.003286467,0.0001800989],"study_design_scores_gemma":[0.003382763,0.001087639,0.7625492,0.00003811964,0.0002108009,0.00007389467,0.0002261875,0.0003392442,0.190902,0.001709308,0.03882464,0.0006562254],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922299,0.0005132796,0.002438144,0.002284665,0.0002717723,0.0009572312,0.0001277821,0.00002533387,0.001151875],"genre_scores_gemma":[0.9610062,0.0001193765,0.03658246,0.00135659,0.00003237608,0.0005136186,0.0001743254,0.00002371975,0.0001913264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2146917,"threshold_uncertainty_score":0.6920165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01732202430320971,"score_gpt":0.2983294327472847,"score_spread":0.281007408444075,"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."}}