{"id":"W6892435334","doi":"10.5281/zenodo.10633818","title":"Commodity-driven deforestation, associated carbon emissions and trade 2001-2022","year":2024,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Deforestation (computer science); Commodity; Agriculture; Greenhouse gas; Consumption (sociology); Forest degradation; Carbon fibers","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008597839,0.0005430718,0.0007307655,0.0003396484,0.0002678911,0.0007940105,0.001227614,0.0006031058,0.00423925],"category_scores_gemma":[0.0005011375,0.000525408,0.0000882378,0.000677371,0.0001623249,0.0002002108,0.001046928,0.001292285,0.009390943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000469376,"about_ca_system_score_gemma":0.0006887907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001829979,"about_ca_topic_score_gemma":0.01696613,"domain_scores_codex":[0.9968964,0.0004287911,0.0005665615,0.0009313115,0.0006103221,0.0005666339],"domain_scores_gemma":[0.9980596,0.0002383425,0.0004073196,0.0008505651,0.00006051653,0.0003836944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002676361,0.0001927477,0.0001134894,0.00003858703,0.0002729407,0.0002173075,0.0002410935,0.00001095705,0.0000731606,5.284583e-7,0.9982144,0.0005980892],"study_design_scores_gemma":[0.0006402155,0.00007738773,0.0004789029,0.0004611093,0.0008015094,0.00003099246,0.0001500265,0.0004496575,0.00003180443,0.00007586444,0.9962037,0.0005988586],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004306896,0.0002711571,7.973365e-8,0.0003902732,0.0003693454,0.001120039,0.991556,0.00001122389,0.001974941],"genre_scores_gemma":[0.0002535007,0.0001033131,0.0001720141,0.00004993128,0.0001151962,0.00008730686,0.9976498,0.0001350916,0.001433836],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01513615,"threshold_uncertainty_score":0.9997197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04404523055526986,"score_gpt":0.3354228181876642,"score_spread":0.2913775876323943,"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."}}