{"id":"W2996582661","doi":"","title":"Vergennes’ Grey Zone: Grappling with the Grey Zone and Hybrid War through French Strategy 1774–1783","year":2019,"lang":"en","type":"article","venue":"Journal of military and strategic studies","topic":"European and Russian Geopolitical Military Strategies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Power (physics); Competition (biology); Political science; Grey literature; Political economy; Sociology; Operations research; Law; Engineering; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001450675,0.0003109459,0.0001707247,0.0008787505,0.005827217,0.004127121,0.0003934173,0.001377807,0.002577055],"category_scores_gemma":[0.00122896,0.00008360926,0.0001918869,0.0005518902,0.01155584,0.002059955,0.002081955,0.001377932,0.0001988621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009310633,"about_ca_system_score_gemma":0.002329773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05173163,"about_ca_topic_score_gemma":0.0627635,"domain_scores_codex":[0.998969,0.0006302229,0.00001334604,0.00007182769,0.00008819922,0.0002274205],"domain_scores_gemma":[0.9996448,0.0001937566,0.00005278226,0.00002063894,0.00004269627,0.00004537904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003202357,0.0000156013,0.00351412,0.00002939149,0.00001161572,0.0005561467,0.1214765,0.0002994506,0.0002389515,0.8546513,0.002691767,0.01648319],"study_design_scores_gemma":[0.00002064795,0.0001308023,0.0312666,0.0003805484,0.00003127684,0.001450943,0.2768354,0.001402634,0.001020023,0.1827389,0.5046574,0.00006483222],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6328118,0.00884294,0.003218742,0.0154922,0.000133905,0.00001600978,0.00002857035,0.00001986559,0.339436],"genre_scores_gemma":[0.9934673,0.0004614725,0.0001979461,0.000267211,0.00001248568,0.000003397474,0.000004259331,0.00000408907,0.005581946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05173163,"threshold_uncertainty_score":0.102861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03360473986228554,"score_gpt":0.2846411099465671,"score_spread":0.2510363700842815,"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."}}