{"id":"W2063404424","doi":"10.1016/j.econlet.2011.10.001","title":"The importance of industry classification in estimating concentration ratios","year":2011,"lang":"en","type":"article","venue":"Economics Letters","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Econometrics; Industrial organization; Statistics; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002300871,0.00005885979,0.0001151596,0.00002047198,0.00002816314,0.000008837558,0.0000795734,0.00004715003,0.00003096334],"category_scores_gemma":[0.00009897156,0.00005243497,0.00002526435,0.00004598834,0.00008014934,0.0001148844,0.00001241209,0.0001361731,0.00001018076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008382995,"about_ca_system_score_gemma":0.00006092736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001613954,"about_ca_topic_score_gemma":0.00005152295,"domain_scores_codex":[0.999372,0.00002508664,0.0003282663,0.000131509,0.00003393005,0.0001091739],"domain_scores_gemma":[0.9994125,0.00005142794,0.0002172661,0.0002647268,0.00001803964,0.00003597897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006318151,0.00002780044,0.9911076,0.0000162522,0.00001849791,0.000003145601,0.0002821422,0.0001733292,0.00373421,0.001514347,0.0009949993,0.002064517],"study_design_scores_gemma":[0.0005830115,0.00001674207,0.9722988,0.00002847429,0.0000100635,0.000003374766,0.0001436974,0.02457559,0.001699924,0.0001488485,0.0004151833,0.00007630713],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961929,0.00002218522,0.0002292277,0.001871308,0.0001356769,0.0002227566,0.00001269085,0.00001468253,0.001298623],"genre_scores_gemma":[0.9962581,0.00000981941,0.002419614,0.001171317,0.00005903781,0.00001895359,0.00004396968,0.000008139858,0.0000110044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02440226,"threshold_uncertainty_score":0.2138236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03977684044852747,"score_gpt":0.2605513793869472,"score_spread":0.2207745389384197,"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."}}