{"id":"W3186584736","doi":"10.2139/ssrn.3801022","title":"Lessons in State Abdication- Explaining Naxalism's Hold on Chhattisgarh","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"South Asian Studies and Conflicts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Abdication; State (computer science); Political science; Law; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003723872,0.0002516358,0.0003235969,0.0006702563,0.006051582,0.004408757,0.001640991,0.002228923,0.02209551],"category_scores_gemma":[0.0087872,0.0003749959,0.0003397159,0.001246505,0.009312169,0.004375281,0.003441021,0.00365454,0.0005701839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005785886,"about_ca_system_score_gemma":0.004503766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09446722,"about_ca_topic_score_gemma":0.1086654,"domain_scores_codex":[0.9984263,0.0007243143,0.00006704528,0.0001463827,0.0001639083,0.0004721526],"domain_scores_gemma":[0.9968939,0.001953714,0.0002271328,0.0003284453,0.0004444414,0.0001523187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007617431,0.00006597495,0.005549196,0.00004975227,0.00001932321,0.0006306744,0.0521164,0.002276069,0.0002501051,0.9166166,0.004853942,0.01749578],"study_design_scores_gemma":[0.00007111584,0.00006549249,0.01470517,0.0002716896,0.00003058444,0.0001864804,0.1331338,0.009686846,0.0007313692,0.793562,0.04749462,0.00006091945],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6182497,0.000674439,0.01113342,0.0470676,0.000319849,0.00007161705,0.0001509306,0.00009755443,0.3222348],"genre_scores_gemma":[0.9908729,0.00008824525,0.0006709726,0.000331319,0.00001625665,0.000009230053,0.00001672994,0.00001611971,0.00797811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09446722,"threshold_uncertainty_score":0.1878347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03832356730169257,"score_gpt":0.3557016107270921,"score_spread":0.3173780434253995,"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."}}