{"id":"W1599489099","doi":"","title":"Federal Support for Academic Research","year":2012,"lang":"en","type":"book","venue":"University of North Texas Digital Library (University of North Texas)","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, Davis; College of Engineering, Michigan State University; University of Illinois at Urbana-Champaign; University of Rochester; Michigan State University; Emory University; Carnegie Mellon University; Northwestern University; University of California, Irvine; Yeshiva University; Princeton University; Ohio State University; California Institute of Technology; York University; University of Miami; Vanderbilt University; Office of Research and Development","keywords":"Political science; Psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001994017,0.0006453289,0.001512543,0.002880018,0.001238166,0.0003011872,0.009516714,0.0007989743,0.003078553],"category_scores_gemma":[0.0005580491,0.0007311443,0.001159169,0.002264781,0.004264259,0.009927173,0.004176206,0.002460193,0.002210547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002814448,"about_ca_system_score_gemma":0.003405172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001054739,"about_ca_topic_score_gemma":0.0004813765,"domain_scores_codex":[0.9905197,0.0003304155,0.0008439571,0.001710903,0.004975524,0.001619512],"domain_scores_gemma":[0.991768,0.002999947,0.001308858,0.00146214,0.00122157,0.001239486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004030915,0.000110378,0.5823277,0.0001110219,0.00009557556,0.00009934611,0.0001162519,0.00001947355,8.333414e-8,0.001000968,0.3957752,0.01994093],"study_design_scores_gemma":[0.0006635173,0.0003101066,0.4083749,0.0000821212,0.00004178665,0.000009785211,0.000122294,0.00004836296,0.00000250093,0.003252675,0.5866366,0.0004553217],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2558933,0.0004710999,0.001027395,0.001613384,0.0005577671,0.002624506,0.01523639,0.0002843978,0.7222918],"genre_scores_gemma":[0.1029335,0.0005470989,0.000665504,0.00006471862,0.0002675993,8.782205e-8,0.001371975,0.00006218834,0.8940873],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1908614,"threshold_uncertainty_score":0.9998412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1032402626969162,"score_gpt":0.3128028397652664,"score_spread":0.2095625770683502,"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."}}