{"id":"W4405258842","doi":"10.5267/j.dsl.2024.10.004","title":"Relationship between the average annual temperature and the area of Amazonian humid forest in the departments of Peru, 2013-2021","year":2024,"lang":"en","type":"article","venue":"Decision Science Letters","topic":"Environmental and Cultural Studies in Latin America and Beyond","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Amazonian; Hectare; Forest cover; Geography; Amazon rainforest; Environmental science; Forestry; Rainforest; Mean radiant temperature; Climate change; Physical geography; Ecology; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001080115,0.00009734912,0.0001206316,0.00002629604,0.0004059806,0.00006569111,0.0005593963,0.00002398247,0.0001078032],"category_scores_gemma":[0.0001074132,0.00003633998,0.00005530228,0.0007403379,0.003368815,0.0002440878,0.000281715,0.0001839815,0.00002235379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003604455,"about_ca_system_score_gemma":0.000003645885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007291188,"about_ca_topic_score_gemma":0.0000429384,"domain_scores_codex":[0.9985765,0.00008381208,0.0002308007,0.0002504357,0.0006889164,0.0001695346],"domain_scores_gemma":[0.9987639,0.0008988148,0.00006103015,0.0002459201,0.000003593656,0.00002674904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001710836,0.0000172033,0.976544,0.000003843735,0.000004978725,0.000004371916,0.006172506,0.0008338669,0.003017327,0.0001696597,0.00469631,0.008518815],"study_design_scores_gemma":[0.000159771,0.00002661789,0.9944528,0.00002136488,0.00001057499,0.000005635868,0.001450987,0.0001307091,0.0001586008,0.0008373749,0.002687495,0.00005808411],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887249,0.000245711,0.00006397437,0.009814826,0.0000797645,0.0002085749,0.00001557243,0.000002625243,0.0008440611],"genre_scores_gemma":[0.9988002,0.00005784235,0.0001232949,0.0009254439,0.00002366502,0.00001245555,0.000001642821,0.000002730168,0.00005277889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01790878,"threshold_uncertainty_score":0.9993435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01103465896857804,"score_gpt":0.2535885370069212,"score_spread":0.2425538780383432,"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."}}