{"id":"W2795207484","doi":"","title":"“Representing Canadian Interests in all Matters Relative to Canadian War Dead:” Lt. Col. J.A. Bailie and the Recovery, Concentration and Burial of the “C” Force Casualties in Japan and Hong Kong","year":2018,"lang":"en","type":"article","venue":"Scholars Commons (Wilfrid Laurier University)","topic":"Military and Defense Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministère de la Défense Nationale","keywords":"Political science; Ancient history; Economic history; History; Law; Demography; Sociology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001945866,0.0003528671,0.0002317863,0.0008671667,0.05214644,0.005821359,0.001077547,0.001308452,0.00915535],"category_scores_gemma":[0.003566093,0.0002942998,0.0002080169,0.001329,0.01235394,0.002068983,0.004178334,0.00331114,0.0004704175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06317723,"about_ca_system_score_gemma":0.09653894,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.983682,"about_ca_topic_score_gemma":0.9953839,"domain_scores_codex":[0.9981809,0.0004000151,0.00002627052,0.00008159035,0.0003585408,0.0009526864],"domain_scores_gemma":[0.9968644,0.0004211503,0.0002162883,0.00006089531,0.0008809927,0.001556174],"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":[0.00009756284,0.00008780084,0.03619406,0.0000953378,0.00002004791,0.001066677,0.8535781,0.0001288649,0.0009720424,0.0169333,0.05799956,0.0328267],"study_design_scores_gemma":[0.000003495059,0.0000195553,0.0123397,0.00006266444,0.000008997295,0.0001259455,0.913904,0.00004424043,0.0002054,0.0003279955,0.07292789,0.00003012824],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8278347,0.001844202,0.000333879,0.05094841,0.0003936255,0.00005546725,0.000121268,0.00002388396,0.1184445],"genre_scores_gemma":[0.9739791,0.0008950182,0.000187715,0.002783936,0.00002180022,0.00001021211,0.00002612977,0.00001367006,0.0220825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06317723,"threshold_uncertainty_score":0.458385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01745152979577981,"score_gpt":0.2405755057308248,"score_spread":0.223123975935045,"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."}}