{"id":"W4411260334","doi":"10.1016/j.gloenvcha.2025.103025","title":"Transformation in the context of uncertainty and compounding effects: Insights from marginal environments in India and Bangladesh","year":2025,"lang":"en","type":"article","venue":"Global Environmental Change","topic":"Sustainable Development and Environmental Policy","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Economic and Social Research Council; Horizon 2020; Japan Science and Technology Agency; International Science Council; Belmont Forum; European Commission; Réseau de cancérologie Rossy; Innovative Solutions Canada","keywords":"Compounding; Transformation (genetics); Context (archaeology); Geography; Biology; Archaeology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.002119755,0.0005304367,0.0005335197,0.001305829,0.01428329,0.008702441,0.00162223,0.001813612,0.00489116],"category_scores_gemma":[0.003633711,0.0004697194,0.0003976848,0.002172923,0.01888196,0.005916917,0.0126222,0.00401706,0.0005710052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01099119,"about_ca_system_score_gemma":0.006055455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06070002,"about_ca_topic_score_gemma":0.1145478,"domain_scores_codex":[0.9963741,0.002212144,0.00007859209,0.0001841723,0.0002609184,0.0008900487],"domain_scores_gemma":[0.9970644,0.00183576,0.0002277858,0.0001508369,0.0002072776,0.0005139211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00002770669,0.00003178533,0.004438877,0.00009233591,0.000008265495,0.002329959,0.9752618,0.0001548094,0.0002755051,0.01271005,0.0007283018,0.003940652],"study_design_scores_gemma":[0.000002140387,0.00001060697,0.001779453,0.00005511799,0.000004312607,0.0002000763,0.9874017,0.00004816513,0.00005605714,0.001792312,0.008641611,0.000008474079],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9185232,0.001148749,0.001164447,0.00530365,0.00003090058,0.00007710604,0.0001160883,0.00001583797,0.07362002],"genre_scores_gemma":[0.9968156,0.0006183619,0.000209537,0.0002816334,0.000004052741,0.00002641658,0.00002877516,0.00001442208,0.002001191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06070002,"threshold_uncertainty_score":0.1206934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007076215058294482,"score_gpt":0.2107275249505106,"score_spread":0.2036513098922162,"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."}}