{"id":"W2785875727","doi":"10.22215/etd/2017-12141","title":"Mao in the Land of Nehru: State and Insurgent Space in India's Hinterlands","year":2017,"lang":"en","type":"dissertation","venue":"","topic":"South Asian Studies and Conflicts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Geography; State (computer science); Insurgency; Capitalism; Expansionism; Political science; Political economy; Sociology; Economy; Politics; Law","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":[0.0004820197,0.00009209073,0.000211668,0.00008894557,0.0001275117,0.00006115399,0.000205623,0.00009312895,0.00006486956],"category_scores_gemma":[0.00009860432,0.00006189007,0.00003078288,0.00009011022,0.00006820883,0.00004145945,0.00001407676,0.0001344818,0.000003795898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001728561,"about_ca_system_score_gemma":0.00008231656,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01853442,"about_ca_topic_score_gemma":0.1585777,"domain_scores_codex":[0.9992446,0.00007798553,0.000163989,0.00013616,0.00020401,0.0001732177],"domain_scores_gemma":[0.9995914,0.00007437863,0.0001504632,0.0001249739,0.00003018169,0.00002864247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006166515,0.00003440338,0.6403651,0.00005449976,0.00002186044,0.00001855094,0.3403696,1.772584e-7,0.000001512782,0.002182033,0.0005558047,0.01633483],"study_design_scores_gemma":[0.0002288603,0.00001786724,0.8839834,0.00007776784,0.000005581018,9.899112e-8,0.0943082,6.881447e-7,0.000005723054,0.0003492121,0.02094113,0.00008141231],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.660375,0.0003411174,8.309146e-8,0.0002709454,0.0001598387,0.0001670444,0.000006173165,0.000002456842,0.3386773],"genre_scores_gemma":[0.9796095,0.001034747,0.000003235225,0.00004282215,0.00003595882,0.00001645336,0.00001416247,0.000004708249,0.0192384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3194389,"threshold_uncertainty_score":0.9880012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01781943386612411,"score_gpt":0.3180782515594973,"score_spread":0.3002588176933732,"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."}}