{"id":"W4309321325","doi":"10.1177/14687968221135943","title":"Indian intervention in ethnic movement of Nepal: Did Madheshi lose or gain?","year":2022,"lang":"en","type":"article","venue":"Ethnicities","topic":"Sociopolitical Dynamics in Nepal","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Government (linguistics); Politics; Political science; Intervention (counseling); Constitution; Development economics; Mainstream; Political economy; Law; Economic growth; Sociology; Economics; Psychology","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":[0.001070798,0.0002379745,0.0002619649,0.0006581208,0.006947936,0.005951861,0.0008428689,0.001471607,0.008169189],"category_scores_gemma":[0.00235242,0.0001700145,0.0002267526,0.001005775,0.00839489,0.003777152,0.006302417,0.003579884,0.0005635932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003437573,"about_ca_system_score_gemma":0.003988592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01552365,"about_ca_topic_score_gemma":0.0301299,"domain_scores_codex":[0.9985952,0.0004797353,0.00002523009,0.0001005728,0.0001893468,0.0006099314],"domain_scores_gemma":[0.9991756,0.0003190021,0.0001598518,0.00005024553,0.00009890502,0.0001964646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001547269,0.0003802929,0.03103842,0.0005050449,0.00004558871,0.004409329,0.6137096,0.0001455469,0.001316654,0.268638,0.008176454,0.07148049],"study_design_scores_gemma":[0.00002827362,0.0001463686,0.06787869,0.00102403,0.0000557716,0.001513021,0.7135481,0.0002320375,0.0008884971,0.01810723,0.1965251,0.00005281764],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7144508,0.003458583,0.0003322268,0.02581617,0.0002589255,0.00004600201,0.00004172922,0.00001408612,0.2555815],"genre_scores_gemma":[0.9840045,0.001487771,0.00008874135,0.003181019,0.00005687495,0.00002367121,0.00001886492,0.00001158887,0.01112699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01552365,"threshold_uncertainty_score":0.03086656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06054008221180805,"score_gpt":0.3897340418407934,"score_spread":0.3291939596289853,"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."}}