{"id":"W2611630431","doi":"","title":"Des images pour enrôler. Isabelle Gusse, L’Armée vous parle : communication et propagande gouvernementales, Montréal, PUM, 2013, 296 pages","year":2014,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Military, Security, and Education Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Saint Paul University","funders":"","keywords":"Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001254229,0.0004514269,0.0005143458,0.0001531551,0.003858294,0.00009056688,0.0008529367,0.0002787373,0.000774439],"category_scores_gemma":[0.0001578454,0.0005116332,0.0002527086,0.000546618,0.001373352,0.0008026326,0.0006585689,0.0003885392,0.0006850396],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00484121,"about_ca_system_score_gemma":0.0001776935,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1871286,"about_ca_topic_score_gemma":0.6228821,"domain_scores_codex":[0.9964209,0.001082116,0.0003970269,0.0005982769,0.0005764837,0.0009252557],"domain_scores_gemma":[0.9976564,0.0004691953,0.0003494374,0.0007718044,0.0003405281,0.0004126486],"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":[0.00005503621,0.0006252241,0.004641945,0.0001328121,0.0002631145,0.0000314099,0.03089957,0.00007739406,0.0001867078,0.02506458,0.9078084,0.03021386],"study_design_scores_gemma":[0.000898232,0.0001285797,0.006717019,0.0001479995,0.0002766798,0.00002682154,0.065318,0.0002729473,0.0001580195,0.008882594,0.9166368,0.0005363096],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.132882,0.5870705,0.0003467818,0.240338,0.0007818142,0.000595422,0.0001025236,0.0001928112,0.03769022],"genre_scores_gemma":[0.4792559,0.354179,0.001819846,0.0006270289,0.0002883598,0.00002616202,0.00006853218,0.00003885615,0.1636963],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.4357535,"threshold_uncertainty_score":0.9997335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0161006270653689,"score_gpt":0.225129075575368,"score_spread":0.2090284485099991,"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."}}