{"id":"W2153383560","doi":"10.1017/s0026749x12000637","title":"Railway fuel and its impact on the forests in colonial India: The case of the Punjab, 1860–1884","year":2012,"lang":"en","type":"article","venue":"Modern Asian Studies","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Firewood; Deforestation (computer science); Context (archaeology); Geography; Colonialism; Natural resource economics; Economics; Archaeology","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":[],"consensus_categories":[],"category_scores_codex":[0.0003881436,0.0001022783,0.000104119,0.00001870916,0.0003873923,0.00001516782,0.0001789264,0.00002484081,0.00003373163],"category_scores_gemma":[0.00005260551,0.00004199271,0.00004719482,0.0001359432,0.0003104826,0.00005790195,0.000557297,0.00009179429,0.00001792942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008465313,"about_ca_system_score_gemma":0.00000361732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003927489,"about_ca_topic_score_gemma":0.004540711,"domain_scores_codex":[0.9993291,0.0001058745,0.0001031315,0.0001145009,0.0001531568,0.0001942096],"domain_scores_gemma":[0.9996053,0.0001093023,0.00006716591,0.0001855035,0.000006079338,0.00002665968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002120735,0.00005868208,0.958576,0.0000109226,0.00005815009,0.00001134271,0.03736093,0.0001075903,0.0000228904,0.00008008772,0.0009407002,0.002751519],"study_design_scores_gemma":[0.0001840185,0.00002838774,0.9934854,0.000008964442,0.00002491091,0.00001047042,0.004862224,0.0002620392,0.00002650059,0.0003746942,0.0006764816,0.00005594084],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902923,0.0006821757,0.000002049611,0.00563471,0.00006879594,0.0003720878,0.000009497719,0.000005061929,0.002933336],"genre_scores_gemma":[0.9993039,0.0000587859,0.000002662178,0.0002762497,0.00002449311,0.00001260526,2.290658e-7,0.000003470391,0.0003175458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03490939,"threshold_uncertainty_score":0.2979548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02461756769683343,"score_gpt":0.2614246343864225,"score_spread":0.2368070666895891,"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."}}