{"id":"W6992461865","doi":"","title":"[Letter from L. Lea] Acknowledging receipt of Agent Morrow's accounts for 1st quarter of 1851","year":2013,"lang":"en","type":"article","venue":"ThinkTech (Texas Tech University)","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Receipt; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001936238,0.0001145678,0.000238134,0.0001980389,0.0005029665,0.00003355497,0.0003736462,0.0001460956,0.000785512],"category_scores_gemma":[0.00006375744,0.0001102664,0.0001507343,0.0004754534,0.0004586667,0.0003740437,0.0001148239,0.000112472,0.00005422809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001336637,"about_ca_system_score_gemma":0.0001101034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005652518,"about_ca_topic_score_gemma":0.001617889,"domain_scores_codex":[0.999028,0.00006127469,0.0001809003,0.0002139081,0.0002541892,0.0002617821],"domain_scores_gemma":[0.9989792,0.0001472344,0.0001682534,0.0002427159,0.0003949245,0.00006765388],"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":[0.0003168594,0.001175869,0.02319471,0.0004049933,0.001373643,0.00004516855,0.1053572,0.000125297,0.02503958,0.2641326,0.5428077,0.03602645],"study_design_scores_gemma":[0.00102575,0.0001337355,0.006878091,0.0001166842,0.0001655614,2.654276e-7,0.01084078,0.0001285732,0.004581373,0.007079249,0.9686852,0.0003647313],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8134111,0.0001971792,0.003647223,0.009490669,0.0009007782,0.001668429,0.000169873,0.0002441135,0.1702707],"genre_scores_gemma":[0.9866005,0.0000436794,0.002140637,0.0001198325,0.0001934751,0.000002338629,0.00001004299,0.0000108328,0.01087872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4258775,"threshold_uncertainty_score":0.8600806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01835736790380724,"score_gpt":0.2442959000175346,"score_spread":0.2259385321137274,"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."}}