{"id":"W7128561262","doi":"","title":"[Letter from L. Lea] Acknowledging receipt Agent Butler&apos;s accounts for 3rd quarter 1851","year":2013,"lang":"en","type":"article","venue":"ThinkTech (Texas Tech University)","topic":"Legal principles and applications","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Receipt; Quarter (Canadian coin); Payment; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001813235,0.0003804196,0.000633318,0.0005682343,0.01052298,0.005582418,0.001538701,0.02100559,0.04311525],"category_scores_gemma":[0.008877722,0.0006510147,0.0005750692,0.0006074607,0.001834917,0.003108021,0.001654377,0.01415279,0.01756613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004982861,"about_ca_system_score_gemma":0.00474781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08026981,"about_ca_topic_score_gemma":0.1516724,"domain_scores_codex":[0.9986091,0.0002355061,0.00007974134,0.0002322409,0.0004677403,0.0003756788],"domain_scores_gemma":[0.9981788,0.0007915677,0.00009421284,0.00009168165,0.0006777608,0.0001659122],"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":[0.00002109434,0.000009145534,0.0002132539,0.00001895333,0.000003244289,0.0001917208,0.0004438619,0.00001524396,0.0001113902,0.01941942,0.9772903,0.002262456],"study_design_scores_gemma":[0.000008404076,0.000008223328,0.0005840518,0.00004813133,0.000004285388,0.00006713026,0.000470359,0.00006000252,0.0001220145,0.002433807,0.996178,0.00001562181],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.004109446,0.004507303,0.0006937773,0.6152489,0.01551914,0.0001042589,0.000662377,0.0002989696,0.3588558],"genre_scores_gemma":[0.01767956,0.0005308064,0.0002015652,0.307083,0.002798462,0.00007270866,0.00008588819,0.000104947,0.6714431],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08026981,"threshold_uncertainty_score":0.1596052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03634195010116296,"score_gpt":0.2834771959178825,"score_spread":0.2471352458167195,"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."}}