{"id":"W7015642492","doi":"","title":"Tria Juncta in Uno: Early Draft Versions of Canadian Armed Forces Senior Officer Flags and Pennants","year":2023,"lang":"en","type":"article","venue":"Scholars Commons (Wilfrid Laurier University)","topic":"Gender, Security, and Conflict","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"FLAGS register; Officer; Unification; Feature (linguistics); Hull; Minor (academic)","routes":{"ca_aff":false,"ca_fund":false,"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":[0.03544405,0.001171873,0.000871286,0.007165709,0.01264541,0.0136067,0.003558337,0.003856567,0.01884932],"category_scores_gemma":[0.1374972,0.001454513,0.0009076777,0.008635483,0.00771512,0.002670186,0.002932186,0.008577761,0.00527928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09706868,"about_ca_system_score_gemma":0.1755031,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9526284,"about_ca_topic_score_gemma":0.957155,"domain_scores_codex":[0.96809,0.004318819,0.002592306,0.001505678,0.0206265,0.002866697],"domain_scores_gemma":[0.8336371,0.02130514,0.001977415,0.004942429,0.1348707,0.003267178],"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":[0.00008241938,0.00003937891,0.001522382,0.0003752676,0.00001438869,0.0002385264,0.02051798,0.0004310649,0.0007663873,0.04602017,0.9027017,0.02729034],"study_design_scores_gemma":[0.00001545741,0.00001048433,0.0051348,0.0005324354,0.00001392516,0.0000322793,0.004564309,0.0001725826,0.0002846359,0.001485078,0.9876574,0.00009659391],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0346457,0.01233108,0.01804628,0.1912032,0.07683927,0.006807873,0.05366298,0.001550418,0.6049132],"genre_scores_gemma":[0.2395222,0.01386847,0.0531149,0.0481442,0.007170922,0.01053913,0.02797289,0.003156833,0.5965105],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09706868,"threshold_uncertainty_score":0.7042859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02910513519986585,"score_gpt":0.2525280743065002,"score_spread":0.2234229391066344,"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."}}