{"id":"W4381624017","doi":"10.1007/978-3-031-32284-6_6","title":"Traditional Erva-mate Production Systems: How Historical Ecology and Environmental History Can Inform Local and Global Approaches to Ecosystem Restoration","year":2023,"lang":"en","type":"book-chapter","venue":"Interdisciplinary Contributions to Archaeology/Interdisciplinary contributions to archaeology","topic":"Amazonian Archaeology and Ethnohistory","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Livelihood; Geography; Ecology; Ecosystem; Environmental resource management; Agriculture; Biology; Archaeology; Environmental science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001168939,0.0002734144,0.0001514505,0.0008389589,0.001186065,0.005388001,0.001082253,0.0005227891,0.008104506],"category_scores_gemma":[0.0009522869,0.0001780615,0.0001291746,0.001560613,0.005120349,0.004038078,0.001538712,0.001201043,0.0008298165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00222483,"about_ca_system_score_gemma":0.001388113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00294086,"about_ca_topic_score_gemma":0.02506123,"domain_scores_codex":[0.9996666,0.0001439047,0.00001138178,0.00005996508,0.0000659748,0.00005206171],"domain_scores_gemma":[0.9997064,0.0001298204,0.00003097955,0.00005726373,0.00004736043,0.00002817264],"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":[0.00001643098,0.00003413379,0.002667701,0.0001109784,0.000008476403,0.0002391201,0.01013165,0.0006754554,0.0004116399,0.8515171,0.006452892,0.1277343],"study_design_scores_gemma":[0.000007149461,0.00003804272,0.01043894,0.0003493263,0.00001614521,0.00037876,0.01224227,0.001571818,0.0006796925,0.3357753,0.6384863,0.00001634107],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03295824,0.008163285,0.01511485,0.00382791,0.0002116893,0.00003031365,0.00007432991,0.0000547244,0.9395646],"genre_scores_gemma":[0.7569247,0.01049981,0.01294194,0.0005996295,0.0001643447,0.00005816013,0.000113091,0.0001533177,0.218545],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.008104506,"threshold_uncertainty_score":0.02711225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0566734552389789,"score_gpt":0.251264249775794,"score_spread":0.1945907945368151,"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."}}