{"id":"W2985242674","doi":"10.15185/izawol.467","title":"Transparency in empirical economic research","year":2019,"lang":"en","type":"article","venue":"IZA World of Labor","topic":"Data Analysis with R","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Transparency (behavior); Accounting; Business; Computer science; Computer security","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3964984,0.001295908,0.004259885,0.009199029,0.006736179,0.03334949,0.004298612,0.0194328,0.01199078],"category_scores_gemma":[0.714101,0.002403121,0.002688021,0.01155012,0.04710648,0.03018923,0.0162802,0.02767863,0.003391825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01055866,"about_ca_system_score_gemma":0.02750283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002614865,"about_ca_topic_score_gemma":0.001647523,"domain_scores_codex":[0.4511743,0.4213629,0.03238194,0.02660573,0.06236957,0.006105545],"domain_scores_gemma":[0.1352346,0.682509,0.04494382,0.1040323,0.02849846,0.004781741],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009306228,0.00003944735,0.001236146,0.0008535544,0.0001168117,0.0001154936,0.001374006,0.001127962,0.0001224017,0.9442421,0.0204113,0.03026777],"study_design_scores_gemma":[0.00005627661,0.00002400639,0.0006847139,0.001410549,0.00004112646,0.00008191924,0.0002030553,0.001222982,0.0002449043,0.9549251,0.04105779,0.00004754815],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.008925043,0.05923874,0.3092238,0.4285586,0.0136697,0.001030059,0.001298923,0.0009127382,0.1771424],"genre_scores_gemma":[0.5995463,0.04091385,0.2072483,0.1009144,0.03017823,0.003772948,0.001173141,0.001153949,0.01509884],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6035016,"threshold_uncertainty_score":0.7442249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08210723770230255,"score_gpt":0.4067504289658305,"score_spread":0.3246431912635279,"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."}}