{"id":"W3137408694","doi":"10.3390/su13063549","title":"Risk Analysis of Regions with Suspicious Illegal Logging and Their Trade Flows","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Illegal logging; Logging; Business; Language change; Natural resource economics; Environmental resource management; Geography; Economics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008643924,0.00035166,0.0001826515,0.004752858,0.0003233276,0.001032856,0.0001807702,0.0002144865,0.001147558],"category_scores_gemma":[0.002601667,0.00008035177,0.0004057654,0.002303552,0.0002760126,0.0006097866,0.0007841372,0.0002077056,0.0001185918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005901497,"about_ca_system_score_gemma":0.000322012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004927046,"about_ca_topic_score_gemma":0.0058587,"domain_scores_codex":[0.9994861,0.0001485546,0.00006144713,0.00005868831,0.0001587585,0.00008641345],"domain_scores_gemma":[0.9978657,0.0004966264,0.00105356,0.00008546387,0.0003718629,0.0001268078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001034445,0.00004172878,0.9619601,0.00003740947,0.00008871088,0.0003412045,0.0006260205,0.0154278,0.0009557258,0.001113646,0.0003369598,0.01896723],"study_design_scores_gemma":[0.000004564096,0.00008443163,0.9193709,0.00004330215,0.00008078566,0.0003750172,0.004399684,0.0712875,0.001314549,0.001783598,0.001223376,0.00003235492],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994468,0.00007764284,0.002569236,0.00005072124,0.000003157854,0.00002810286,0.0004709701,0.00001655311,0.002315617],"genre_scores_gemma":[0.9987,0.00003942699,0.0006977866,0.000002638367,0.000002085143,0.000009373129,0.0002989664,0.000001956226,0.0002477614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004927046,"threshold_uncertainty_score":0.009796739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005296467104243542,"score_gpt":0.1914029393223536,"score_spread":0.1861064722181101,"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."}}