{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070731,0.0001667095,0.0002822035,0.002198857,0.0009317115,0.0001015309,0.000596004,0.00021069,0.0001770458],"category_scores_gemma":[0.0001921268,0.000197846,0.0001044498,0.003743386,0.0004103025,0.0006424887,0.0001789068,0.0003868534,0.00005755063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001776789,"about_ca_system_score_gemma":0.0008518759,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3113019,"about_ca_topic_score_gemma":0.8507341,"domain_scores_codex":[0.9980772,0.0003972671,0.0001920848,0.000343916,0.000358372,0.0006312302],"domain_scores_gemma":[0.9987645,0.0001911139,0.00008869685,0.0003037803,0.0001328329,0.0005191179],"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":[0.0003449732,0.0002198961,0.7561728,0.00006945168,0.0002647913,0.0008674798,0.137359,0.000028242,0.0008655939,0.08525142,0.01500118,0.003555154],"study_design_scores_gemma":[0.00172738,0.00006879213,0.2052462,0.0000606527,0.00007653035,0.000001204948,0.05132897,0.00002743232,0.00009449507,0.0005147612,0.7404926,0.0003609959],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9387134,0.00009868542,0.000001327668,0.002170405,0.0003022807,0.000303291,0.00009851757,0.00007256574,0.0582395],"genre_scores_gemma":[0.987796,0.0003893403,0.00003229355,0.00006685346,0.00003420706,0.000001035882,0.00001780324,0.00001405772,0.0116484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7254914,"threshold_uncertainty_score":0.8067924,"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."}}