{"id":"W2148998227","doi":"10.1503/cmaj.111438","title":"Military metaphors and friendly fire","year":2012,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Headline; Battle; Computer science; Medicine; History; Advertising; Ancient history; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.001468125,0.000351211,0.0001957262,0.001140838,0.003287128,0.003997961,0.0003987787,0.001496737,0.006843865],"category_scores_gemma":[0.005379504,0.0002443493,0.0002366465,0.0006920861,0.01169143,0.004848275,0.001980084,0.001808614,0.0005931909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001711298,"about_ca_system_score_gemma":0.001105581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003103302,"about_ca_topic_score_gemma":0.005182888,"domain_scores_codex":[0.9987864,0.0008342473,0.00001623269,0.00006477976,0.000151983,0.0001464245],"domain_scores_gemma":[0.9985484,0.0007131564,0.0002640444,0.0001075825,0.0001543121,0.0002124602],"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":[0.0001111142,0.00008572706,0.003824871,0.0001784485,0.00001733316,0.0006198817,0.1896511,0.0002549994,0.001048719,0.7685127,0.01450142,0.02119374],"study_design_scores_gemma":[0.00009486555,0.0001325298,0.01613266,0.0006169006,0.00003440602,0.002939504,0.2244687,0.001265273,0.0004491594,0.551704,0.2020534,0.0001084589],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.4115483,0.01350681,0.007803132,0.01889838,0.0006453772,0.00002408168,0.00007523062,0.00007512874,0.5474236],"genre_scores_gemma":[0.994328,0.001073414,0.0007476065,0.0007663135,0.00004480974,0.000006909319,0.00001832184,0.00001700724,0.002997573],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.006843865,"threshold_uncertainty_score":0.02289504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00891388277555564,"score_gpt":0.2567923692562247,"score_spread":0.247878486480669,"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."}}