{"id":"W4410152709","doi":"10.24908/cmj.v24i4.19320","title":"Warriors, Hair, and the Professional Soldiers of CAF","year":2024,"lang":"en","type":"article","venue":"Canadian Military Journal","topic":"Race, History, and American Society","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology","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":[0.001298149,0.00006711995,0.0001268236,0.00007406979,0.001231055,0.00002526812,0.0001818675,0.00005736742,0.0003622099],"category_scores_gemma":[0.0001238599,0.0000462631,0.0001157213,0.0001789831,0.001967927,0.0001418024,0.000008689729,0.0003365264,0.000008869631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003339342,"about_ca_system_score_gemma":0.003257382,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2469885,"about_ca_topic_score_gemma":0.3701082,"domain_scores_codex":[0.9989552,0.0002458684,0.0001657157,0.0001067173,0.0002409128,0.0002855905],"domain_scores_gemma":[0.9991996,0.0001484026,0.00002871962,0.00007493968,0.00005770514,0.0004906259],"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":[0.0000255725,0.00000883375,0.002716719,0.00003421302,0.0001126901,0.0001091418,0.2330465,0.00001098315,0.00004371107,0.01595805,0.7231653,0.02476825],"study_design_scores_gemma":[0.0002211458,0.00001950475,0.001951871,0.0000811849,0.00002736507,0.00003289864,0.0791271,0.00010748,0.000001287841,0.002504499,0.9158289,0.00009678463],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6226608,0.2226513,0.0000758485,0.09011316,0.009373229,0.0005547408,0.0001112246,0.00008093065,0.05437878],"genre_scores_gemma":[0.9895599,0.002347376,0.0001990316,0.001052779,0.0006557449,0.000003228363,7.927089e-7,0.00001224961,0.006168906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3668992,"threshold_uncertainty_score":0.9468403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006327716799415,"score_gpt":0.2555250584285609,"score_spread":0.2491973416291459,"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."}}