{"id":"W4409229206","doi":"10.1093/reseval/rvaf012","title":"R&amp;D performance evaluation and analysis under uncertainty: the case of Chinese industrial enterprises","year":2024,"lang":"en","type":"article","venue":"Research Evaluation","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"China Scholarship Council","keywords":"Business; Industrial organization; Operations research; Mathematical economics; Economics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1136093,0.0001256273,0.0002750355,0.002161018,0.0004898944,0.0006435635,0.0004553345,0.00009970998,0.001226572],"category_scores_gemma":[0.02494016,0.00006896166,0.0001722442,0.01146074,0.0004171947,0.0004545867,0.0001844604,0.0003958992,0.00009803382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002756944,"about_ca_system_score_gemma":0.0008310567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004993647,"about_ca_topic_score_gemma":0.001231863,"domain_scores_codex":[0.9859682,0.005163551,0.0007480007,0.0006393435,0.007184837,0.0002960167],"domain_scores_gemma":[0.9881158,0.007270975,0.0001590855,0.0008513557,0.003522539,0.00008021345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008904224,0.00008200579,0.04254874,0.00001377327,0.000527843,0.000009248037,0.003726307,0.414103,0.0007502058,0.0003569722,0.001188844,0.536604],"study_design_scores_gemma":[0.0002374047,0.00006041852,0.02874552,0.00002523095,0.0005452148,0.00001997006,0.0008925776,0.9587032,0.00003997617,0.01039254,0.0002670198,0.00007090156],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993022,0.001355993,0.002429459,0.001694767,0.0001716968,0.0006507881,0.00001386061,0.00001602366,0.0006454025],"genre_scores_gemma":[0.9994029,0.00005724943,0.00004894769,0.00001455903,0.0001263792,0.00006443049,0.00003262002,0.000007508112,0.0002454383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5446002,"threshold_uncertainty_score":0.9996864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4731957579261801,"score_gpt":0.5799018002915833,"score_spread":0.1067060423654033,"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."}}