{"id":"W4245896095","doi":"10.4300/jgme-d-18-00831.1","title":"ICRE Top Research Papers","year":2018,"lang":"en","type":"article","venue":"Journal of Graduate Medical Education","topic":"Innovations in Medical Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"MEDLINE; Data science; Computer science; Medicine; Information retrieval; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004805299,0.0001028863,0.0002533899,0.0006545776,0.0001838861,0.00002666263,0.0002560545,0.0001872179,0.002524288],"category_scores_gemma":[0.02101789,0.00007708588,0.00008970216,0.001244789,0.0006437856,0.0001395746,0.00003310414,0.001249562,0.0001537916],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003361688,"about_ca_system_score_gemma":0.006351911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002239179,"about_ca_topic_score_gemma":0.000002708206,"domain_scores_codex":[0.9959593,0.0001726296,0.000763405,0.0001612837,0.002643111,0.0003002902],"domain_scores_gemma":[0.994828,0.0001221548,0.0002794155,0.0002967811,0.00411571,0.0003579293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001125089,0.0008752734,0.002298328,0.00006561194,0.00004151452,0.00001351717,0.00122252,4.451735e-8,0.0006459237,0.001623137,0.4338917,0.5592099],"study_design_scores_gemma":[0.002003026,0.002548817,0.06961683,0.002026684,0.0001461418,0.002687751,0.008260724,0.0002872123,0.00303019,0.004775413,0.9043882,0.0002289395],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8452134,0.0001998642,0.0002380671,0.1276577,0.004720691,0.0001941053,2.386793e-7,0.00001706485,0.02175887],"genre_scores_gemma":[0.9762551,0.0002072394,0.004915416,0.008639922,0.00772227,0.00001117572,0.00001330974,0.00002162561,0.002213894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5589809,"threshold_uncertainty_score":0.9992812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08935310966663605,"score_gpt":0.4788051460869341,"score_spread":0.389452036420298,"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."}}