{"id":"W2160136553","doi":"10.2139/ssrn.1396330","title":"Choosing the Rules for Consensus Standardization","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Standardization; Incentive; Attrition; Compromise; Payment; Ex-ante; Quality (philosophy); Process (computing); Microeconomics; Mechanism design; Economics; Public economics; Business; Law and economics; Risk analysis (engineering); Computer science; Political science; Law; Macroeconomics; Finance","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":[],"consensus_categories":[],"category_scores_codex":[0.001525725,0.00007003358,0.00014632,0.0001015866,0.0002866136,0.00004819766,0.000145532,0.00003031745,0.000348945],"category_scores_gemma":[0.00006658097,0.00005813101,0.0001535252,0.0001074624,0.00002832465,0.00005472093,0.000009018666,0.0003011697,0.00007818946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002075356,"about_ca_system_score_gemma":0.0001706035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004457953,"about_ca_topic_score_gemma":0.000119482,"domain_scores_codex":[0.9988505,0.00001763037,0.0003260918,0.0001197337,0.00002915696,0.0006569442],"domain_scores_gemma":[0.9995425,0.00002115677,0.0002310222,0.0001194883,0.00005370219,0.00003213309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001961503,0.0000161362,0.002009905,0.000001533254,0.0001201248,1.585098e-7,0.0001602098,0.00001459362,0.000004563862,0.9953458,0.0002223731,0.002084988],"study_design_scores_gemma":[0.000353441,0.00006814587,0.001114194,0.00000346055,0.0000213791,0.00003547639,0.000702468,0.0007384531,0.00004170376,0.9723904,0.0244297,0.0001011838],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05488101,0.008653118,0.8944666,0.00168833,0.0005444794,0.0001819705,0.00005428141,0.00003019662,0.03950006],"genre_scores_gemma":[0.9958772,0.001672734,0.0005149575,0.000155106,0.0001581974,0.000007105427,0.000005481777,0.00001293973,0.001596261],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9409962,"threshold_uncertainty_score":0.3820703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03062033331214235,"score_gpt":0.2218281880973147,"score_spread":0.1912078547851724,"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."}}