{"id":"W4417340374","doi":"10.18438/eblip30955","title":"Apply for the 2026 Research Training Institute (RTI) Program","year":2025,"lang":"","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Training set; George (robot)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","scholarly_communication"],"consensus_categories":["metaresearch","scholarly_communication"],"category_scores_codex":[0.03107165,0.0003008088,0.0003681664,0.001017242,0.003196369,0.02288483,0.003921654,0.0004093645,0.0003506445],"category_scores_gemma":[0.1298576,0.0002034239,0.0001414638,0.005850522,0.0009899709,0.6432885,0.001121299,0.002078325,0.0001389036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003873808,"about_ca_system_score_gemma":0.004228671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003191146,"about_ca_topic_score_gemma":2.313815e-7,"domain_scores_codex":[0.9929097,0.001572817,0.001894372,0.0006234959,0.002208378,0.0007912558],"domain_scores_gemma":[0.9260864,0.0707125,0.001024692,0.0009768396,0.0009249683,0.0002746564],"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":[0.000842824,0.00004275162,0.0001162849,0.0001199033,0.00003464558,0.00000100256,0.001030748,0.0004349166,0.000001406484,0.2554893,0.126241,0.6156452],"study_design_scores_gemma":[0.0005808288,0.0002202554,0.001147168,0.0009679057,0.0000743744,0.000008187017,0.01703697,0.1054528,0.0001370802,0.003891648,0.8702725,0.0002103192],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.000564072,0.009940761,0.08481936,0.8392019,0.002721242,0.004828383,0.00006206457,0.00018597,0.05767627],"genre_scores_gemma":[0.4875368,0.02510136,0.04111928,0.4190773,0.001450353,0.00353943,0.0001571563,0.00004494375,0.02197336],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.7440315,"threshold_uncertainty_score":0.9981014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1949592196967904,"score_gpt":0.4837064665912303,"score_spread":0.2887472468944399,"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."}}