{"id":"W2019157716","doi":"10.1097/01.ede.0000071469.28460.a0","title":"Computer Programs for Epidemiologists–PEPI Version 4.0","year":2003,"lang":"en","type":"article","venue":"Epidemiology","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Calculator; IBM; Personal computer; History of computing; Salt lake; Software; Syntax; World Wide Web; Programming language; Artificial intelligence; Operating system; Algorithm","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":["metaresearch","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008119273,0.0002096691,0.0007916969,0.0001037138,0.001338541,0.000001710284,0.000210128,0.0006801595,0.0006661386],"category_scores_gemma":[0.01100035,0.0001807644,0.000199074,0.0001606697,0.0001976141,0.00008155539,0.00007718983,0.0007184941,0.00113334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001748481,"about_ca_system_score_gemma":0.0001981995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002586356,"about_ca_topic_score_gemma":0.0001667248,"domain_scores_codex":[0.9925749,0.00433746,0.001255477,0.0005232164,0.00006843276,0.001240495],"domain_scores_gemma":[0.9863076,0.01227967,0.0005064703,0.0004271487,0.0001951841,0.0002839215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007378316,0.00007039275,0.3164109,0.0002079675,0.00002637546,9.573449e-7,0.0004341435,0.0001120601,0.00000204564,0.4137401,0.2662285,0.002692752],"study_design_scores_gemma":[0.00103762,0.0003519992,0.03123088,0.00007612823,0.00002167569,0.000002960743,0.0002831981,0.002363435,0.000001015614,0.092796,0.8716457,0.0001893997],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2250206,0.004654051,0.5342776,0.1162341,0.03236266,0.01707476,0.0004123318,0.002123156,0.0678407],"genre_scores_gemma":[0.586777,0.0004374949,0.3365335,0.06553052,0.002913378,0.002195371,0.001044938,0.00009582117,0.004472029],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6054172,"threshold_uncertainty_score":0.9999616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4715275746660901,"score_gpt":0.5405868641004171,"score_spread":0.06905928943432704,"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."}}