{"id":"W6983123898","doi":"","title":"[Letter from L. Lea] Acknowledging receipt of Agent Morrow's accounts for 4th quarter 1852","year":2013,"lang":"en","type":"article","venue":"ThinkTech (Texas Tech University)","topic":"Census and Population Estimation","field":"Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.000168249,0.0001782405,0.0002727717,0.000279824,0.0001273965,0.00003204537,0.0003097212,0.0001741227,0.0007211891],"category_scores_gemma":[0.000104812,0.000181879,0.0001286204,0.0002843039,0.00005072416,0.0004197376,0.00008199156,0.00015195,0.0001821556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000143408,"about_ca_system_score_gemma":0.00003185201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002048693,"about_ca_topic_score_gemma":0.00007058645,"domain_scores_codex":[0.998978,0.00004303645,0.0002693038,0.0002595348,0.0002119845,0.0002381392],"domain_scores_gemma":[0.9987406,0.0002319709,0.0002491112,0.0004195931,0.0002924172,0.00006628048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003390374,0.001131328,0.02312754,0.0009501259,0.0006544087,0.00003097788,0.006871335,0.000183223,0.0332145,0.1723249,0.7261779,0.03499466],"study_design_scores_gemma":[0.006082197,0.0004375329,0.02331708,0.0007437789,0.0007752901,0.000007381213,0.001154822,0.02365553,0.04550061,0.4780797,0.4183584,0.001887595],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9017502,0.0000247881,0.08233184,0.001589078,0.000373724,0.00133445,0.00009676546,0.0003800644,0.01211911],"genre_scores_gemma":[0.9435315,0.000009278457,0.04955756,0.0002245347,0.0001650106,0.000004826637,0.00008060061,0.0000382745,0.006388417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3078195,"threshold_uncertainty_score":0.7896515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03677440227832086,"score_gpt":0.2633598696812605,"score_spread":0.2265854674029397,"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."}}