{"id":"W7128558084","doi":"","title":"[Letter from Manypenny acknowledging receipt of George Butler&apos;s 3rd quarter accounts]","year":2013,"lang":"en","type":"article","venue":"ThinkTech (Texas Tech University)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"George (robot); Quarter (Canadian coin); Receipt; Government (linguistics)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003001396,0.0002331261,0.0005314525,0.0006035729,0.0001813523,0.00009152881,0.0007568937,0.0001826254,0.02127608],"category_scores_gemma":[0.00003297533,0.0002789614,0.0001872383,0.0004550368,0.0002091017,0.0008277898,0.0003621787,0.0002245838,0.03748604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002086278,"about_ca_system_score_gemma":0.00001971804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001413104,"about_ca_topic_score_gemma":0.00003955521,"domain_scores_codex":[0.9984294,0.00001651786,0.0004347568,0.0006306241,0.00005970116,0.0004290655],"domain_scores_gemma":[0.9987521,0.00006430329,0.0003683202,0.0006203188,0.00009508205,0.0000998593],"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":[0.00004469866,0.0002321709,0.03511838,0.00005191158,0.0005126649,0.0000236252,0.002078479,0.00001249632,0.0005476293,0.09568055,0.8642116,0.001485849],"study_design_scores_gemma":[0.0009538906,0.00004699426,0.009448032,0.00004095092,0.0000340885,9.834298e-7,0.001195038,0.0003195489,0.000843241,0.01615108,0.9704338,0.0005323582],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3206094,0.0002869501,0.0009038365,0.001041311,0.001854241,0.0004169004,0.0005263442,0.0001867146,0.6741743],"genre_scores_gemma":[0.662935,0.0002219159,0.002132728,0.0005961112,0.0002073979,0.000003298659,0.00003444767,0.00003871118,0.3338304],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3423256,"threshold_uncertainty_score":0.9999663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02786923807936997,"score_gpt":0.1901888986398609,"score_spread":0.1623196605604909,"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."}}