{"id":"W4392058469","doi":"10.1080/08865655.2023.2296043","title":"Partition as Border Making: East Bengal, East Pakistan and Bangladesh","year":2024,"lang":"en","type":"article","venue":"Journal of Borderlands Studies","topic":"South Asian Studies and Conflicts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"BENGAL; Partition (number theory); Middle East; Political science; Geography; Ancient history; History; Law; Mathematics; Archaeology; Combinatorics; Bay","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":[],"consensus_categories":[],"category_scores_codex":[0.0007298806,0.0001472892,0.0003288068,0.0001257366,0.0006968487,0.000232299,0.0001091734,0.00006309255,0.00009311079],"category_scores_gemma":[0.0002872787,0.0001125035,0.0001141913,0.0003167923,0.0003167079,0.0002449157,0.00006277352,0.0002250685,0.00001484043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007183947,"about_ca_system_score_gemma":0.00014599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004274524,"about_ca_topic_score_gemma":0.0004676696,"domain_scores_codex":[0.9986083,0.00009275389,0.0003782429,0.0001624435,0.0004515979,0.0003066523],"domain_scores_gemma":[0.999172,0.0001380932,0.0001576193,0.00007136071,0.0003552436,0.0001056793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002962177,0.0001766432,0.03111107,0.000411816,0.002966345,0.0008794221,0.6707848,0.00001160285,0.00005433019,0.0787411,0.07662012,0.1379465],"study_design_scores_gemma":[0.0003665484,0.0002404325,0.003807462,0.000351008,0.0001516085,0.00004448376,0.2731585,0.00001157233,0.000002702345,0.002640297,0.7190529,0.00017257],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.52873,0.2635963,0.0002016512,0.06969053,0.004487451,0.0004288825,0.00003666698,0.0001886756,0.1326398],"genre_scores_gemma":[0.9909896,0.006194059,0.0001066992,0.0002876924,0.001042567,0.000005977274,5.227337e-7,0.00001380981,0.001359057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6424327,"threshold_uncertainty_score":0.5359667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04441031938412886,"score_gpt":0.3878547874319768,"score_spread":0.343444468047848,"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."}}