{"id":"W4394905977","doi":"10.48550/arxiv.2404.10171","title":"Are Medium-Sized Transformers Models still Relevant for Medical Records Processing?","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de Recherche du Québec - Santé; Institut de Valorisation des Données; Université de Montréal","keywords":"Narrative; Psychology; Artificial intelligence; Computer science; Linguistics; Philosophy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006110015,0.001149332,0.0009069649,0.001124113,0.0004392356,0.003365343,0.002361185,0.001338034,0.004919587],"category_scores_gemma":[0.03203062,0.0004897117,0.001301963,0.001236514,0.000882931,0.006552189,0.001945882,0.002804873,0.004132657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001507199,"about_ca_system_score_gemma":0.00256488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006239095,"about_ca_topic_score_gemma":0.009959674,"domain_scores_codex":[0.9974337,0.001181708,0.0002319835,0.0006507074,0.0003610393,0.0001409343],"domain_scores_gemma":[0.9875067,0.008710619,0.0004963577,0.001795237,0.001186184,0.0003049798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002174631,0.0006029375,0.0208765,0.001053171,0.0005853992,0.0006759472,0.0007474896,0.1335708,0.01357748,0.02058398,0.03474552,0.7708062],"study_design_scores_gemma":[0.000138548,0.0003768328,0.003789802,0.0002339527,0.0002044288,0.0004101849,0.0005112411,0.8945376,0.009232896,0.07046825,0.02003183,0.00006438198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1385702,0.004624153,0.8114026,0.01649676,0.0009174875,0.0004999804,0.006727392,0.01171187,0.009049557],"genre_scores_gemma":[0.7152935,0.002408259,0.2637888,0.002845629,0.0004798584,0.0004388796,0.009919389,0.0005738274,0.004251741],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006239095,"threshold_uncertainty_score":0.03231323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07830069375804545,"score_gpt":0.2480306589230999,"score_spread":0.1697299651650544,"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."}}