{"id":"W7132986893","doi":"","title":"&quot;Face of the enemy&quot; : the representation of the Vietnamese in American war comics 1962-1967","year":2014,"lang":"en","type":"other","venue":"TSpace","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Representation (politics); Vietnamese; Comics; Photojournalism; Context (archaeology)","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":[0.0003380631,0.000198017,0.0001296643,0.0007850174,0.00581009,0.003422742,0.0003359306,0.0005927455,0.03408173],"category_scores_gemma":[0.001659523,0.000104555,0.00004819218,0.002462789,0.002765129,0.001475654,0.0011396,0.001101933,0.002196031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006514094,"about_ca_system_score_gemma":0.001541961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2411473,"about_ca_topic_score_gemma":0.4634172,"domain_scores_codex":[0.9997177,0.00008660187,0.000004860425,0.00002680167,0.00006397239,0.0001000155],"domain_scores_gemma":[0.999611,0.0001080716,0.0000514637,0.00003169695,0.00009162837,0.000106175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002424345,0.00004723975,0.00928132,0.000145398,0.00001373137,0.001246556,0.5097811,0.0003775493,0.00104235,0.1832368,0.2078749,0.08671071],"study_design_scores_gemma":[0.000008480171,0.00003616942,0.03148982,0.0002375349,0.000006311684,0.0002398699,0.3032318,0.0002929587,0.001120286,0.004658856,0.6586618,0.00001600985],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3131584,0.001157016,0.0003454635,0.01025638,0.0006239599,0.00002640253,0.001540745,0.00002504108,0.6728666],"genre_scores_gemma":[0.7856024,0.0005067865,0.00007144972,0.0002663877,0.00008421083,0.000007565362,0.0002919455,0.0000491668,0.2131201],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2411473,"threshold_uncertainty_score":0.4794873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01548995239684055,"score_gpt":0.3172545876334763,"score_spread":0.3017646352366358,"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."}}