{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001623113,0.0002317395,0.0002402802,0.00007638444,0.00008974164,0.00002229688,0.0001968198,0.0001076997,0.00007866078],"category_scores_gemma":[0.00000648881,0.0001977249,0.00002966703,0.0002306173,0.0004416049,0.0003760355,0.0002294626,0.0001451849,0.00001960069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007991992,"about_ca_system_score_gemma":0.00000341561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002773855,"about_ca_topic_score_gemma":0.0003728721,"domain_scores_codex":[0.9986204,0.0001336132,0.0003130439,0.0003425672,0.0002856772,0.0003047315],"domain_scores_gemma":[0.9996222,0.00008891301,0.0000739195,0.0001567212,2.065168e-7,0.0000580901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001128477,0.000251154,0.9568527,0.00004805241,0.00001879783,0.00003173923,0.009617059,0.00003340754,0.002641624,0.0007133346,0.00004183453,0.02963745],"study_design_scores_gemma":[0.001597564,0.0000565334,0.9864804,0.00005872796,0.00001685987,0.000003992726,0.007154278,0.0003347929,0.0003559359,0.001384662,0.002378404,0.0001778751],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995096,0.0007672837,0.00001221936,0.0002280312,0.00004910106,0.0007492174,0.00004487495,0.000005320809,0.003047989],"genre_scores_gemma":[0.9981944,0.0005175374,0.00004825598,0.001017279,0.00001160097,0.000103996,0.00007738845,0.000006549673,0.00002297869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02962768,"threshold_uncertainty_score":0.8062989,"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."}}