{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001782209,0.00009968766,0.0001589257,0.0001136409,0.0002336878,0.00002500609,0.0001082216,0.0003399985,0.01962539],"category_scores_gemma":[0.0007455423,0.00008732652,0.00007492391,0.0001433017,0.00003666676,0.0001754706,0.000008623024,0.0006357903,0.0005098872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002483478,"about_ca_system_score_gemma":0.0003155452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006539107,"about_ca_topic_score_gemma":0.01050172,"domain_scores_codex":[0.9981537,0.0003004042,0.0002665813,0.0001144746,0.0005950138,0.0005698127],"domain_scores_gemma":[0.9977223,0.0001291992,0.00008945207,0.00008085281,0.0001182801,0.001859925],"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":[0.00001505191,0.00009210517,0.1675755,0.000006824127,0.0004296689,0.0003523872,0.009047144,8.794526e-8,0.000008310274,0.002676157,0.5059457,0.313851],"study_design_scores_gemma":[0.0009803447,0.00007043465,0.300571,0.00002294748,0.0001110376,0.0009584291,0.008292967,0.0000195821,0.000007453317,0.0005505306,0.6881769,0.0002383109],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9489595,0.0108827,0.000075104,0.007556932,0.003601783,0.00008639629,0.00004219001,0.00002341107,0.02877202],"genre_scores_gemma":[0.9873962,0.0001803981,0.00008472783,0.008207722,0.00246035,0.00000791065,0.00001410757,0.00001384344,0.001634711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3136127,"threshold_uncertainty_score":0.9885217,"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."}}