{"id":"W2799902355","doi":"10.5876/9781607326700.c004","title":"4 Coup Counts and Corn Caches","year":2018,"lang":"en","type":"book-chapter","venue":"University of Colorado Press eBooks","topic":"Archaeology and ancient environmental studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Oceanic and Atmospheric Administration; University of Cambridge; National Park Service; University of Alabama; Kent State University; University of Oklahoma; University of Wyoming; Ohio State University; U.S. Army Corps of Engineers; U.S. Department of the Interior; University of Oxford; Harvard University; American Philosophical Society; Smithsonian Institution","keywords":"Geography","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":[0.00003164724,0.00007872524,0.0001261305,0.00002003886,0.000117084,0.000001698853,0.00009246484,0.00009575935,0.002223179],"category_scores_gemma":[8.260753e-7,0.00008081888,0.00002499267,0.00000114118,0.001079082,0.00001664669,0.00004986616,0.00007039574,0.0001201871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002568868,"about_ca_system_score_gemma":0.000008921097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001491514,"about_ca_topic_score_gemma":0.0003383835,"domain_scores_codex":[0.9996813,0.00000608363,0.00004091924,0.0001202039,0.00007833732,0.00007314081],"domain_scores_gemma":[0.9998075,0.000028292,0.00005963033,0.00006197618,0.000008692622,0.00003395172],"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":[0.002710253,0.00009074894,0.157331,0.001100241,0.002941524,0.001117585,0.02799598,0.00006259172,0.00004315094,0.2473385,0.2977377,0.2615308],"study_design_scores_gemma":[0.0001319694,0.000113583,0.006161462,0.0000302387,0.00005216855,0.000003439183,0.00006334788,0.00004771823,0.000006880634,0.002631851,0.9906352,0.0001222042],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004371455,0.0006588061,0.00001181214,0.000008061412,0.00007251366,0.00007050187,0.0001341075,0.00001034802,0.9946624],"genre_scores_gemma":[0.06375889,0.0004161713,0.00008870591,0.00002953083,0.00002611806,9.592076e-9,0.00002390976,0.000002158758,0.9356545],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6928974,"threshold_uncertainty_score":0.9986889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01959955449071189,"score_gpt":0.1558424613049794,"score_spread":0.1362429068142675,"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."}}