{"id":"W6995527820","doi":"","title":"The Other Side of the Hill: Combat Intelligence in the Canadian Corps, 1914â1918","year":2012,"lang":"en","type":"article","venue":"Scholars Commons (Wilfrid Laurier University)","topic":"Intelligence, Security, War Strategy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Battle; Battlefield; Credence; Military intelligence; Military tactics; First world war; World War II","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":[0.000636894,0.0005586807,0.0002232977,0.001941798,0.02421231,0.003555155,0.0008405658,0.002293572,0.02894861],"category_scores_gemma":[0.001561789,0.0003511494,0.00030183,0.003359572,0.003909173,0.0015521,0.001365191,0.003987772,0.00211649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09950409,"about_ca_system_score_gemma":0.082178,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9967693,"about_ca_topic_score_gemma":0.9992616,"domain_scores_codex":[0.998758,0.00005745029,0.00002062662,0.00008344694,0.0004588007,0.000621828],"domain_scores_gemma":[0.9991799,0.00004215167,0.0000338214,0.0000171846,0.0004897583,0.000237177],"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":[0.00007243092,0.00004536711,0.01075578,0.0002116662,0.00001648511,0.0006829471,0.02734226,0.0001691862,0.0002795564,0.1029141,0.8073215,0.05018856],"study_design_scores_gemma":[0.000003211084,0.000006847896,0.01423947,0.00007256534,0.000004104423,0.00007081721,0.004286633,0.00001751534,0.00004775145,0.0005121877,0.9807228,0.00001609411],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0341813,0.05137877,0.00027766,0.09505744,0.005652937,0.0001291604,0.005009827,0.00004871902,0.8082643],"genre_scores_gemma":[0.177644,0.01919257,0.0004420305,0.01348569,0.0007906531,0.00006406067,0.0009053016,0.00005219741,0.7874236],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09950409,"threshold_uncertainty_score":0.7219561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02775434385643541,"score_gpt":0.2637958230481979,"score_spread":0.2360414791917625,"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."}}