{"id":"W7128581316","doi":"","title":"Acknowledging receipt of Agent Morrow's accounts for 3rd quarter 1852","year":2013,"lang":"en","type":"article","venue":"ThinkTech (Texas Tech University)","topic":"Historical Economic and Social Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Receipt; Quarter (Canadian coin); Payment; Action (physics)","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":[],"category_scores_codex":[0.0002406919,0.0001694713,0.000504735,0.0003344469,0.0002508546,0.00002855325,0.0004272857,0.0001811325,0.0006220161],"category_scores_gemma":[0.00008590859,0.0002119456,0.000213768,0.0003314854,0.0001238798,0.0003583524,0.0001222235,0.0001485779,0.001108546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005558236,"about_ca_system_score_gemma":0.00002886355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006123616,"about_ca_topic_score_gemma":0.00005673629,"domain_scores_codex":[0.9988745,0.0000114953,0.0003853938,0.0003649687,0.00003432064,0.0003292689],"domain_scores_gemma":[0.9991202,0.00007700642,0.0003177997,0.0002822022,0.0001137765,0.00008899871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008530074,0.0004719411,0.02301581,0.0002224015,0.0005467054,0.000007851833,0.005941534,0.00002887434,0.0002948059,0.8487178,0.1121886,0.008478364],"study_design_scores_gemma":[0.00119303,0.0001940435,0.00391504,0.00002937232,0.00003444762,6.250232e-7,0.001201175,0.000477671,0.0003226867,0.05792629,0.9341497,0.0005559343],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5029992,0.0013515,0.02352101,0.001867914,0.001392802,0.001670785,0.000283407,0.0003459107,0.4665675],"genre_scores_gemma":[0.9701068,0.0002384101,0.001996052,0.0001263278,0.0001122946,0.000008133546,0.000009577024,0.00002679044,0.0273756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8219611,"threshold_uncertainty_score":0.9996692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0405577651950077,"score_gpt":0.2176970286687565,"score_spread":0.1771392634737488,"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."}}