{"id":"W2529988540","doi":"10.1177/0008429816659097","title":"Gandhi’s Response to Religious Conflict","year":2016,"lang":"en","type":"article","venue":"Studies in Religion/Sciences Religieuses","topic":"Indian History and Philosophy","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; Religious pluralism; Pluralism (philosophy); China; Religious diversity; Social conflict; Religious conflict; Diversity (politics); Environmental ethics; Context (archaeology); Sociology; Political science; Epistemology; Social science; Law; History; Ethnology; Anthropology; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001111786,0.0003329725,0.0004495854,0.0006416711,0.0008605539,0.0001011721,0.0006661655,0.00007217676,0.0001049794],"category_scores_gemma":[0.001136698,0.0002092276,0.0001323258,0.0003272968,0.002396033,0.0003063211,0.0002214846,0.0001331151,0.00102997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002318687,"about_ca_system_score_gemma":0.0002636882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003359546,"about_ca_topic_score_gemma":0.0008007142,"domain_scores_codex":[0.9973483,0.0002087671,0.0005808146,0.0006982016,0.00050633,0.0006576073],"domain_scores_gemma":[0.9978418,0.001185372,0.0001443772,0.0004534274,0.0002317486,0.0001432365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009588317,0.00009274779,0.0008506525,0.00005171205,0.0000652878,0.0001378869,0.1523872,0.00002331608,0.001278649,0.1652353,0.678466,0.0004525283],"study_design_scores_gemma":[0.0004173358,0.0006755311,0.00006758465,0.0003798012,0.00001280346,0.00001292213,0.002574989,2.508475e-7,0.0005249318,0.01589793,0.9790101,0.0004257969],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8078444,0.03140417,0.00001091842,0.01737409,0.005351496,0.0007586064,0.00007066553,0.0003784652,0.1368072],"genre_scores_gemma":[0.9788705,0.01155303,0.0001266529,0.003435463,0.0006800445,0.0001170493,5.816744e-7,0.00002902269,0.005187666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3005441,"threshold_uncertainty_score":0.9997479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.132033580204455,"score_gpt":0.3452524571051135,"score_spread":0.2132188769006585,"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."}}