{"id":"W653763514","doi":"10.30861/9781841715865","title":"Predictive Modeling and the Ecology of Hunter-Gatherers of the Boreal Forest of Manitoba","year":2004,"lang":"en","type":"book","venue":"University of Michigan Press eBooks","topic":"Archaeology and ancient environmental studies","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Taiga; Ecology; Field (mathematics); Geography; Cultural ecology; Boreal; Process (computing); Environmental resource management; Environmental ethics; Archaeology; Computer science; Environmental science; Mathematics; Forestry","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0001094461,0.0001088118,0.0003139213,0.00003048804,0.0001180961,5.133471e-7,0.0003492932,0.0001176966,0.00001166412],"category_scores_gemma":[0.000005008433,0.00007339579,0.0001111589,0.000006314201,0.003666106,0.0000198129,0.0001783165,0.0001545506,2.019651e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006692771,"about_ca_system_score_gemma":0.00008719203,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005666795,"about_ca_topic_score_gemma":0.06235916,"domain_scores_codex":[0.9994096,0.00006708278,0.0001527664,0.0001377117,0.000129825,0.0001030567],"domain_scores_gemma":[0.9993761,0.0001197922,0.0003145432,0.0001476992,0.00002161224,0.00002025022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005514264,0.000141792,0.7095328,0.001433266,0.002988824,0.00002544744,0.1349719,0.1114693,0.0000508343,0.02792362,0.0002832408,0.005664619],"study_design_scores_gemma":[0.009179807,0.00170246,0.8705514,0.001475901,0.002120524,0.00002793131,0.02550497,0.02046575,0.001040324,0.06077701,0.006410918,0.0007430103],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7291912,0.0007562054,0.0001258491,0.0000242954,0.00007347654,0.0003648424,0.0004348677,0.000003966981,0.2690252],"genre_scores_gemma":[0.981279,0.0002500349,0.00005434603,0.00001101137,0.000009559501,5.109591e-8,0.00001613172,0.00000234335,0.01837749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2520878,"threshold_uncertainty_score":0.9990454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008006635813290933,"score_gpt":0.1409240250664184,"score_spread":0.1329173892531275,"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."}}