{"id":"W4387568403","doi":"10.1016/j.patter.2023.100860","title":"Classification of integers based on residue classes via modern deep learning algorithms","year":2023,"lang":"en","type":"article","venue":"Patterns","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"CHEO Research Institute; University of Pennsylvania; University of Nevada, Las Vegas; Children's Hospital of Philadelphia","keywords":"Interpretability; Artificial intelligence; Feature engineering; Computer science; Task (project management); Machine learning; Feature (linguistics); Prime (order theory); Deep learning; Algorithm; Mathematics; Engineering; Combinatorics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004815896,0.0001379313,0.0001683159,0.000299207,0.0001146503,0.0000495305,0.0006369397,0.00008242251,0.00002636556],"category_scores_gemma":[0.0002104908,0.000135216,0.00006408372,0.0005365839,0.00002310346,0.0001309982,0.0001183873,0.0004033364,0.0001264641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006779961,"about_ca_system_score_gemma":0.00005222383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002991879,"about_ca_topic_score_gemma":0.0000961995,"domain_scores_codex":[0.9982432,0.0003039573,0.0002850832,0.0004363097,0.0004347198,0.0002967626],"domain_scores_gemma":[0.9986133,0.0004290028,0.0001860732,0.0005923684,0.00009438204,0.00008490165],"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":[0.00001463259,0.00005844562,0.3734896,0.0002470279,0.00001324753,0.00002524345,0.002363208,0.1212512,0.001472406,0.001286342,0.0001302219,0.4996485],"study_design_scores_gemma":[0.0001079276,0.0001065288,0.2597832,0.00005848934,0.000001862282,0.000001116259,0.00005345597,0.7387695,0.0006351591,0.0002423344,0.0001462533,0.00009407312],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08742017,0.00001161705,0.9082699,0.002784409,0.0002748535,0.0001381885,0.000003167404,0.0004716183,0.0006260176],"genre_scores_gemma":[0.9946482,0.000009503017,0.004819749,0.0002373326,0.0000610748,0.00002927035,0.00003083418,0.00002184839,0.000142145],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9072281,"threshold_uncertainty_score":0.5513946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03810788998054022,"score_gpt":0.315891056537151,"score_spread":0.2777831665566108,"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."}}