{"id":"W6997367790","doi":"","title":"Who Does The Dying?: 'Martial Races' and War Time Unit Deployment in the Indian Army","year":2019,"lang":"en","type":"article","venue":"W&M Publish (College of William & Mary)","topic":"South Asian Studies and Conflicts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Infantry; Independence (probability theory); World War II; Operational level of war; Military service; Military operations other than war; Military tactics; Action (physics); Adversary; Politics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.00150065,0.0001796935,0.0003031328,0.0001166497,0.0005052777,0.0001570997,0.0007812915,0.0001223802,0.0004526966],"category_scores_gemma":[0.0002583576,0.00009857619,0.00008336324,0.0008026251,0.0005027138,0.000502805,0.0002076372,0.0002510261,0.00005432529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004409242,"about_ca_system_score_gemma":0.0001720085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001770934,"about_ca_topic_score_gemma":0.002870778,"domain_scores_codex":[0.9978429,0.000359222,0.0003216846,0.0003147664,0.000651141,0.0005102988],"domain_scores_gemma":[0.9988263,0.0003650718,0.0001716829,0.0003978387,0.0001336695,0.0001053991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002069181,0.0003924502,0.3704845,0.0001230398,0.0003015747,0.00008003725,0.2790219,0.000009325222,0.00007844809,0.01307623,0.32102,0.01520563],"study_design_scores_gemma":[0.0008584835,0.00008766909,0.1233023,0.00006044129,0.00003219013,0.000001621608,0.09282241,0.0000239867,0.00001441149,0.0008017996,0.7817577,0.0002369893],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8786732,0.0005253762,9.162159e-7,0.03623285,0.0004935823,0.001150599,0.00005708367,0.00004105614,0.08282532],"genre_scores_gemma":[0.9858662,0.0002334165,0.00002512872,0.001722264,0.0003198625,0.00006128268,0.00000383115,0.00001848019,0.01174955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4607377,"threshold_uncertainty_score":0.495671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009705820621075006,"score_gpt":0.2410772366894504,"score_spread":0.2313714160683754,"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."}}