{"id":"W7164894225","doi":"10.1080/17153379.2004.12553972","title":"Exchanging the Past: A Rainforest World of Before and After.","year":2004,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Oral History, Memory, Narrative Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Rainforest; Tropical rainforest; Amazon rainforest; Tropical rain forest","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001203902,0.0002871405,0.0001616273,0.001074938,0.01140104,0.007158473,0.0005973342,0.0009834446,0.01095457],"category_scores_gemma":[0.004032949,0.0001844176,0.00008372718,0.001856302,0.01082768,0.008525471,0.002986518,0.003452972,0.0004432998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002677057,"about_ca_system_score_gemma":0.003583197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03395122,"about_ca_topic_score_gemma":0.09660772,"domain_scores_codex":[0.99955,0.0002581006,0.000008698243,0.0000403287,0.00006766137,0.00007508777],"domain_scores_gemma":[0.9988733,0.0005809995,0.0001225291,0.0001203927,0.0001056387,0.0001971316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00004457088,0.00002069651,0.001769548,0.00009183825,0.000007010001,0.00063131,0.7773961,0.00006737844,0.0001990519,0.1544262,0.02609748,0.03924887],"study_design_scores_gemma":[0.000003668045,0.00001250929,0.003994972,0.0003863384,0.00001433047,0.0004071764,0.4910132,0.0001002817,0.000345798,0.01844719,0.4852617,0.00001286002],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2670506,0.01572685,0.004529908,0.03964562,0.000896502,0.0000575454,0.0003273057,0.0001231704,0.6716425],"genre_scores_gemma":[0.9421577,0.006095192,0.001349603,0.001528304,0.0002045874,0.00002378792,0.0001014059,0.00007130223,0.04846804],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03395122,"threshold_uncertainty_score":0.06750721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01262653369283893,"score_gpt":0.2031288799462474,"score_spread":0.1905023462534084,"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."}}