{"id":"W2600935272","doi":"10.1007/s11948-017-9883-5","title":"America COMPETES at 5 years: An Analysis of Research-Intensive Universities’ RCR Training Plans","year":2017,"lang":"en","type":"article","venue":"Science and Engineering Ethics","topic":"Human Resource Development and Performance Evaluation","field":"Psychology","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, Los Angeles; University of Illinois at Urbana-Champaign; Stony Brook University; Oregon State University; Montana State University; Georgia State University; Dartmouth College; York University; University of Rochester; Georgetown University; University of Central Florida; Johns Hopkins University; Brandeis University; Colorado State University; University of Connecticut; Virginia Commonwealth University; Tulane University; Brown University; Arizona State University; State University of New York; Louisiana State University; George Washington University; California Institute of Technology; Georgia Institute of Technology; Ohio State University; Rice University; Rensselaer Polytechnic Institute; Florida State University; Yale University; Vanderbilt University; University of Oklahoma; Washington University in St. Louis; University at Buffalo; Massachusetts Institute of Technology; City University of New York; Iowa State University; Carnegie Mellon University; North Carolina State University; Purdue University; Case Western Reserve University; National Science Foundation; Mississippi State University; Emory University; Harvard University","keywords":"Philosophy of science; Training (meteorology); Medical education; Business; Political science; Medicine; Geography; Philosophy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["metaresearch"],"domain":"incentives","study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["metaresearch","research_integrity"],"domain":"methods","study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002482126,0.00005052263,0.0001170437,0.0005143341,0.0005780847,0.00006614458,0.0003094681,0.00006273286,0.0001017342],"category_scores_gemma":[0.0003255578,0.00005117345,0.00001829567,0.0003922785,0.0009269785,0.000193104,0.00008870356,0.0002866002,0.000009575394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006437402,"about_ca_system_score_gemma":0.0001379146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001547858,"about_ca_topic_score_gemma":0.00007487998,"domain_scores_codex":[0.9990004,0.00003196484,0.00008456288,0.0001761436,0.0004796765,0.0002272472],"domain_scores_gemma":[0.9990405,0.0001870511,0.00004883738,0.0002665472,0.000385286,0.00007171042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00005064521,0.00002329106,0.04442591,0.00004867624,0.0003023604,0.00002492834,0.9087532,0.0113056,0.007785372,0.01954384,0.0002109263,0.007525239],"study_design_scores_gemma":[0.0001402819,0.00008267967,0.8861794,0.00003742521,0.0000463293,0.00000165469,0.04754082,0.06162584,0.0001071944,0.00002635282,0.004100545,0.0001114023],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968814,0.00001526759,0.0000946418,0.0002061236,0.0001326797,0.00003427257,0.00000875803,0.00001737748,0.002609459],"genre_scores_gemma":[0.999228,0.00001453288,0.0002694796,0.00005124186,0.00002571174,0.000001479999,0.000009014037,0.000003679211,0.0003968471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8612124,"threshold_uncertainty_score":0.4446219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2363368745113985,"score_gpt":0.4519432389538049,"score_spread":0.2156063644424065,"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."}}