{"id":"W4239129021","doi":"10.5744/florida/9781683400103.003.0001","title":"Mississippian Origins","year":2017,"lang":"en","type":"book-chapter","venue":"University Press of Florida eBooks","topic":"Archaeology and Natural History","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Section (typography); Quarter (Canadian coin); History; Special section; Archaeology; Classics; Genealogy; Geography; Engineering; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000277748,0.0004610254,0.0001833797,0.001437087,0.005276942,0.002713252,0.000437605,0.000831317,0.0161074],"category_scores_gemma":[0.000564664,0.0002135224,0.0001603772,0.001893661,0.002245177,0.001995468,0.002094215,0.001909042,0.002739029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00705989,"about_ca_system_score_gemma":0.004126141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04920697,"about_ca_topic_score_gemma":0.1564897,"domain_scores_codex":[0.9998247,0.00003882292,0.000005310663,0.00004379693,0.00005185874,0.00003545454],"domain_scores_gemma":[0.9998441,0.00005109538,0.0000160237,0.00001617881,0.00005248336,0.00002024367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002657233,0.00001290553,0.0009419761,0.000356425,0.000009528045,0.0006730683,0.05259132,0.0001571263,0.001272463,0.7020534,0.07839365,0.1635116],"study_design_scores_gemma":[4.961448e-7,0.000003492898,0.0006753966,0.0001530859,0.000002080676,0.0002017142,0.001663186,0.00001908194,0.0001562855,0.00858135,0.9885406,0.000003253973],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02232955,0.07087877,0.002531308,0.01382379,0.0008938742,0.00002922321,0.0002892427,0.00009200328,0.8891323],"genre_scores_gemma":[0.2727972,0.06812811,0.003833484,0.002868813,0.0008711067,0.00009053422,0.0003807863,0.0001702513,0.6508597],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04920697,"threshold_uncertainty_score":0.09784108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03030441037692231,"score_gpt":0.2477248777840958,"score_spread":0.2174204674071735,"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."}}