{"id":"W650480715","doi":"","title":"The Militia Gunners","year":2015,"lang":"en","type":"article","venue":"Scholars Commons (Wilfrid Laurier University)","topic":"Military History and Strategy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Computer science; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001620393,0.0001230906,0.0001274863,0.0001297718,0.002731801,0.0000890062,0.000911406,0.0001161904,0.0001278862],"category_scores_gemma":[0.000290743,0.0001148969,0.0001050748,0.0006888101,0.000944573,0.000745927,0.0001017937,0.0003988967,0.000175795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003787801,"about_ca_system_score_gemma":0.0007323379,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002880888,"about_ca_topic_score_gemma":0.03341426,"domain_scores_codex":[0.9977459,0.001064803,0.0001221537,0.000237386,0.0003945298,0.0004352804],"domain_scores_gemma":[0.9986735,0.0001910594,0.00005044718,0.0004338228,0.000191045,0.0004600998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001494664,0.00008442861,0.009418107,0.000003668642,0.00007143088,0.0002053652,0.01447809,0.00004521724,0.00002255999,0.8632787,0.1082798,0.003963131],"study_design_scores_gemma":[0.0003186619,0.00003725768,0.0005375316,0.000005137361,0.00002085217,0.000001165671,0.02698734,0.000006215957,0.00000850558,0.002965224,0.9689612,0.000150844],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2099647,0.001097882,0.00006158909,0.003216075,0.0008369009,0.0001936433,0.00002005058,0.0001555734,0.7844536],"genre_scores_gemma":[0.9034363,0.0001618018,0.0001575703,0.0001508416,0.0001319992,9.047144e-7,0.000007856461,0.00001139863,0.09594133],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8606815,"threshold_uncertainty_score":0.9985665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03566846623864475,"score_gpt":0.2536490121647286,"score_spread":0.2179805459260838,"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."}}