{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002589383,0.0001785731,0.000198778,0.000182207,0.001167234,0.000285634,0.0008757634,0.0002322543,0.001258743],"category_scores_gemma":[0.00005914946,0.0001890032,0.0001462066,0.0005201311,0.0002605769,0.0007071206,0.0001751207,0.0002630942,0.001922429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003624669,"about_ca_system_score_gemma":0.0001663746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005477721,"about_ca_topic_score_gemma":0.001844388,"domain_scores_codex":[0.9985435,0.00007474343,0.0001710682,0.0004295779,0.0002879526,0.0004931571],"domain_scores_gemma":[0.9988526,0.0001640511,0.0001179779,0.000429316,0.0002550004,0.0001810157],"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":[0.00007400735,0.0005313414,0.00366492,0.00005261799,0.0002808751,0.00002520831,0.02031192,0.00001738128,0.009531642,0.271987,0.6623251,0.03119805],"study_design_scores_gemma":[0.0003705076,0.00002731309,0.0009160176,0.00002331327,0.00004176324,1.743346e-7,0.00166613,0.00008551177,0.0008763492,0.008813707,0.9869114,0.0002677792],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5740517,0.0001129251,0.02550448,0.04848782,0.00112488,0.004052057,0.0002428311,0.001615269,0.344808],"genre_scores_gemma":[0.9410849,0.00006423425,0.005331454,0.001615002,0.0007970968,0.00002225281,0.00004580757,0.00003355064,0.0510057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3670332,"threshold_uncertainty_score":0.9996542,"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."}}