{"id":"W7128580615","doi":"","title":"[Letter from L. Lea] Acknowledging receipt of Agent Butler's accounts for 4th quarter 1852","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; 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":[0.0002385418,0.0001383342,0.00020162,0.0001712984,0.0004850526,0.00007993241,0.0007383588,0.0001838297,0.0008412918],"category_scores_gemma":[0.00005328501,0.0001446172,0.0001326913,0.000476814,0.0002181436,0.0005045632,0.0001419156,0.0001855123,0.0004926143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002178697,"about_ca_system_score_gemma":0.0001272222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005230888,"about_ca_topic_score_gemma":0.001303839,"domain_scores_codex":[0.9988347,0.00006197703,0.0001779916,0.0003156993,0.0002584274,0.0003512323],"domain_scores_gemma":[0.9989298,0.0001504505,0.0001487258,0.0003705219,0.0002791353,0.0001213415],"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":[0.0001255673,0.0008891001,0.007327938,0.0001268738,0.0004509422,0.00001690745,0.02987927,0.0000370481,0.03963409,0.4447869,0.4411867,0.03553863],"study_design_scores_gemma":[0.0004042934,0.00003654102,0.001041404,0.00003322961,0.00004837709,1.139125e-7,0.001986023,0.0000808378,0.0034616,0.008362958,0.9843231,0.0002214912],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7240258,0.00008078669,0.01482973,0.01746248,0.0005094292,0.002575228,0.0002122407,0.0006103872,0.239694],"genre_scores_gemma":[0.972913,0.000055117,0.004239616,0.0004966859,0.0003195479,0.000009534535,0.00002463219,0.00001922429,0.02192268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5431364,"threshold_uncertainty_score":0.9211555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03418998087225686,"score_gpt":0.2811431243256728,"score_spread":0.2469531434534159,"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."}}