{"id":"W7094602834","doi":"","title":"[Email correspondence between Daniel Graney, Al Daniels, and Pennington Ingley]","year":2009,"lang":"en","type":"article","venue":"The Portal to Texas History (University of North Texas)","topic":"Economic, Social, and Health Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Democracy; Caucus; George (robot)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000465362,0.0001898,0.0005623309,0.0002245765,0.0004171022,0.00001160164,0.0004814119,0.00008094793,0.0003103642],"category_scores_gemma":[0.00004238618,0.0002346918,0.0001205078,0.0001608115,0.0002921909,0.0002515673,0.000142835,0.0002330807,0.0002970917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002839497,"about_ca_system_score_gemma":0.00007163691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001794266,"about_ca_topic_score_gemma":0.002704272,"domain_scores_codex":[0.9987735,0.00002510276,0.0003688221,0.0004312198,0.00006242929,0.0003388987],"domain_scores_gemma":[0.9988806,0.00009227113,0.0004635383,0.0003402309,0.0000422699,0.0001811131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007337832,0.00006416124,0.919084,0.00003142475,0.00006529783,0.00001775276,0.003856884,0.00001291796,0.000001338848,0.0146965,0.06066258,0.001433731],"study_design_scores_gemma":[0.000301839,0.0001701038,0.7823029,0.00001264725,0.00002184929,0.000002234847,0.0001752836,0.00002427655,4.913903e-7,0.001050281,0.2157288,0.0002093304],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9563155,0.001747721,0.0001493911,0.002825092,0.0002855458,0.0002688532,0.0001118058,0.00004752251,0.03824855],"genre_scores_gemma":[0.9853916,0.0004264051,0.0002256093,0.001207449,0.00009522845,2.764716e-7,0.00001440887,0.00001374443,0.01262533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1550662,"threshold_uncertainty_score":0.9570455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04316036860798623,"score_gpt":0.2175681645137853,"score_spread":0.1744077959057991,"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."}}