{"id":"W3037462853","doi":"10.1038/s41590-020-0687-4","title":"ImmGen at 15","year":2020,"lang":"en","type":"article","venue":"Nature Immunology","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":79,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Institute of Allergy and Infectious Diseases; National Heart, Lung, and Blood Institute; University of California, San Francisco; University of California, San Diego; Genentech; Directorate for Biological Sciences; National Institutes of Health; Brigham and Women's Hospital; National University of Singapore; Agence Nationale de la Recherche; Agency for Science, Technology and Research; Broad Institute; Harvard University; Brown University; Massachusetts Institute of Technology; University of Oxford","keywords":"Publishing; Scientific publishing; Art; Biology; Environmental ethics; Philosophy; Literature","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001810542,0.00213292,0.00157255,0.002601712,0.001889105,0.005320847,0.00252441,0.004118651,0.8899601],"category_scores_gemma":[0.001731667,0.000927837,0.001869951,0.001029766,0.001194854,0.001058914,0.005754075,0.003345437,0.8438793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001275649,"about_ca_system_score_gemma":0.001690068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009117593,"about_ca_topic_score_gemma":0.002014485,"domain_scores_codex":[0.9986613,0.0002026085,0.00003175147,0.0003544292,0.0003330118,0.0004169088],"domain_scores_gemma":[0.9992582,0.00007646963,0.0000261221,0.0001684574,0.00007089802,0.0003998484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000988438,0.001122942,0.001025057,0.0003741583,0.00006910149,0.0005244798,0.00009103122,0.0003379183,0.006323078,0.01086206,0.8789482,0.09933352],"study_design_scores_gemma":[0.0002077136,0.0001907393,0.001446452,0.0001468349,0.0000194977,0.0002180598,0.00005187826,0.0002619531,0.001876981,0.00376298,0.9917988,0.00001816495],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002430785,0.0009013217,0.001801045,0.00182723,0.004379313,0.0003783691,0.01532805,0.009338249,0.9636157],"genre_scores_gemma":[0.007294473,0.0002453513,0.0008574693,0.0008862581,0.0003469796,0.0002613685,0.009123684,0.001311209,0.9796733],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8899601,"threshold_uncertainty_score":0.1569586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003546652404555217,"score_gpt":0.1822661557067929,"score_spread":0.1787195033022377,"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."}}