{"id":"W4410152774","doi":"10.24908/cmj.v24i4.19328","title":"Reserves in Aid to the Civil Power","year":2024,"lang":"en","type":"article","venue":"Canadian Military Journal","topic":"Natural Resources and Economic Development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Power (physics); Political science; Physics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009662459,0.0001012759,0.000163779,0.0005747681,0.0001472068,0.0001246415,0.0003545635,0.00005544611,0.003016953],"category_scores_gemma":[0.00009195133,0.00008566579,0.000089556,0.0002896671,0.00001995148,0.0001784873,0.00003225012,0.0003968274,0.001880457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000711604,"about_ca_system_score_gemma":0.0002054022,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03772701,"about_ca_topic_score_gemma":0.4389351,"domain_scores_codex":[0.9988595,0.00001231609,0.0004364563,0.0002272364,0.00002631288,0.0004381596],"domain_scores_gemma":[0.9993244,0.00003305424,0.00002298758,0.000173656,0.00001023342,0.0004356573],"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":[0.00002638676,0.00001623735,0.1432321,0.00003084016,0.0001440536,0.000744723,0.009987059,0.001594471,0.000003219836,0.03297297,0.7979561,0.01329182],"study_design_scores_gemma":[0.00008052117,0.00002163616,0.09869779,0.00003793331,7.282628e-7,0.00006154369,0.0002829915,0.0004511297,6.820049e-7,0.006101068,0.8941422,0.0001218179],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8677305,0.05666094,0.00002454106,0.03635849,0.002082241,0.0001317235,0.0001048652,0.000009175326,0.03689752],"genre_scores_gemma":[0.9926053,0.0004711655,0.0001536849,0.001697294,0.0002213739,0.000006308354,0.000002995931,0.00001675606,0.004825158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4012081,"threshold_uncertainty_score":0.9988967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01775372046095417,"score_gpt":0.1971935902373176,"score_spread":0.1794398697763634,"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."}}