{"id":"W1506773677","doi":"10.1002/9780470245842.ch19","title":"Method and Theory in Paleodemography, with an Application to a Hunting, Fishing and Gathering Village from the Late Eastern Woodlands of North America","year":2007,"lang":"en","type":"other","venue":"","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Woodland; Osteology; Geography; Fishing; Context (archaeology); Fishing village; Archaeology; Wildlife; Fertility; Fishery; Forestry; Ecology; Population; Demography; Sociology; Biology","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":[0.0013872,0.0002240615,0.0003367039,0.0003513659,0.0001313269,0.00009999449,0.0003293066,0.0001104574,0.0000657889],"category_scores_gemma":[0.00001582363,0.0001592253,0.00004357883,0.0007751254,0.0003082692,0.00008778399,0.00009420218,0.0001630794,0.000001680315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001043447,"about_ca_system_score_gemma":0.00001432616,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04634992,"about_ca_topic_score_gemma":0.3281388,"domain_scores_codex":[0.998295,0.0003623364,0.0002446826,0.0004298699,0.0003706663,0.0002974404],"domain_scores_gemma":[0.9990599,0.0001902672,0.0002748184,0.0003530556,0.00002831793,0.00009361877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003216114,0.00003029861,0.844618,0.00003047914,0.00008280126,0.000001856905,0.008945966,0.00001412627,0.000003620589,0.0008751786,0.0001028036,0.1452627],"study_design_scores_gemma":[0.0003763275,0.00008739098,0.8909102,0.0002304534,0.00009935134,2.167549e-7,0.007609003,0.0001629643,0.000002635514,0.0009519203,0.09910216,0.000467375],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5346965,0.0007017445,0.08155612,0.000162799,0.00005877712,0.001727616,0.00005685837,0.0001720419,0.3808675],"genre_scores_gemma":[0.9538494,0.001415453,0.02903439,0.001001929,0.0003464149,0.0001316244,0.00003977651,0.0002637554,0.0139173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4191528,"threshold_uncertainty_score":0.9600005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0095148359742518,"score_gpt":0.281453771048658,"score_spread":0.2719389350744063,"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."}}