{"id":"W4385538371","doi":"10.4337/9781781950074.00027","title":"Index","year":2009,"lang":"en","type":"paratext","venue":"Edward Elgar Publishing eBooks","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Computer science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008101059,0.000794613,0.0007157319,0.0028802,0.002277371,0.008297254,0.001471622,0.001737558,0.7262915],"category_scores_gemma":[0.004791132,0.0003513478,0.0005064153,0.003454034,0.0006913804,0.004796045,0.003712292,0.001758166,0.5364558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002336387,"about_ca_system_score_gemma":0.002770178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004700114,"about_ca_topic_score_gemma":0.00605979,"domain_scores_codex":[0.9987133,0.0001279895,0.0000855199,0.0002182545,0.0006858757,0.0001691125],"domain_scores_gemma":[0.9983013,0.0001954491,0.00007288565,0.0003164435,0.0008206598,0.0002932984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003344889,0.00002260159,0.0002672521,0.000111714,0.000003735668,0.00004465025,0.0000998487,0.00006556699,0.0001804937,0.0404883,0.8439581,0.1147243],"study_design_scores_gemma":[0.000002872375,0.000006178038,0.000269958,0.00004320922,9.539751e-7,0.00002980783,0.00005563379,0.00002469648,0.00004817643,0.002607399,0.9969081,0.000002861842],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004800505,0.0008259304,0.0009236925,0.002032983,0.003327839,0.0001200918,0.004804696,0.0003973067,0.9870874],"genre_scores_gemma":[0.003198605,0.0007232594,0.0006215567,0.001033741,0.0005484654,0.0001017845,0.003172669,0.0002268378,0.9903729],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2737085,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02649510346112927,"score_gpt":0.2240877815620794,"score_spread":0.1975926781009502,"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."}}