{"id":"W4285049251","doi":"10.1007/978-3-030-91127-0_17","title":"Economic Causes and Consequences of Deforestation on Easter Island","year":2022,"lang":"en","type":"book-chapter","venue":"Developments in paleoenvironmental research","topic":"Pacific and Southeast Asian Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Deforestation (computer science); Geography; History; Economics; Computer 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":[0.0002500348,0.0001404919,0.0000874788,0.0006590211,0.0005063472,0.0006452589,0.0003088435,0.0002878801,0.00315452],"category_scores_gemma":[0.0005453933,0.000131935,0.0001633665,0.001451833,0.0006440532,0.0004640993,0.0003966077,0.0005163771,0.0001643783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008490337,"about_ca_system_score_gemma":0.0006908397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0767039,"about_ca_topic_score_gemma":0.2138414,"domain_scores_codex":[0.9999294,0.00001880213,0.00000391097,0.000006333449,0.00001916999,0.00002232836],"domain_scores_gemma":[0.9998141,0.00006052663,0.00005309202,0.000006587648,0.00004473875,0.00002107059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000199743,0.0001555787,0.8097663,0.0003986843,0.0001898403,0.002261789,0.006651116,0.007896321,0.001488386,0.03864374,0.02030873,0.1120398],"study_design_scores_gemma":[0.000001882286,0.0000121421,0.9856924,0.00004716737,0.0000164639,0.0001033389,0.003215649,0.0006240961,0.0001034856,0.001809442,0.008368414,0.00000555748],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8922498,0.01097344,0.0002016503,0.003863574,0.0001092194,0.00001549616,0.001648609,0.00001198221,0.09092623],"genre_scores_gemma":[0.9687395,0.0144765,0.0001780643,0.0001479211,0.0001182254,0.00001069247,0.0007293578,0.000008283691,0.01559127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0767039,"threshold_uncertainty_score":0.1525149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08308198201894865,"score_gpt":0.3568139399135724,"score_spread":0.2737319578946238,"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."}}