{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03602213,0.0006530691,0.002265946,0.00299776,0.003736316,0.009305365,0.002916951,0.005146923,0.008603309],"category_scores_gemma":[0.1633419,0.001099312,0.001927368,0.002483072,0.008084273,0.01283345,0.005415562,0.006488896,0.00259688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002073237,"about_ca_system_score_gemma":0.004026956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008416806,"about_ca_topic_score_gemma":0.001061633,"domain_scores_codex":[0.9735103,0.01437991,0.002003145,0.003961608,0.003975512,0.002169572],"domain_scores_gemma":[0.8547297,0.09073975,0.00743257,0.02896913,0.01335016,0.00477869],"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":[0.000133051,0.00006008957,0.0009471623,0.00010515,0.00007626229,0.00007988486,0.0004878616,0.005528795,0.0007010135,0.9595295,0.003669398,0.02868194],"study_design_scores_gemma":[0.00005790075,0.00003328291,0.0002491961,0.0000456451,0.00001950124,0.00004212076,0.0002734922,0.01594557,0.0007506091,0.9802351,0.002325355,0.00002227375],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1234593,0.0008910436,0.7765179,0.01123035,0.0006041295,0.0006826189,0.0003100687,0.000637184,0.08566736],"genre_scores_gemma":[0.8059359,0.0004031773,0.1826246,0.0008625595,0.0003242248,0.0007722163,0.0002106408,0.0003552765,0.008511412],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03602213,"threshold_uncertainty_score":0.1905055,"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."}}