{"id":"W2488375700","doi":"","title":"Differences in the construction of nation branding: Canada and Colombia Différences dans la construction de marque pays: Canada et Colombie","year":2011,"lang":"fr","type":"article","venue":"","topic":"Advertising and Communication Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ranking (information retrieval); Index (typography); Political science; Geography; Regional science; Economy; Economics","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":[0.0005940789,0.0002175589,0.0002050607,0.001589976,0.00481519,0.004160815,0.000454264,0.0004655221,0.003746689],"category_scores_gemma":[0.001585593,0.0001616891,0.000159245,0.00236918,0.002466179,0.0008532258,0.001432687,0.0008496204,0.0001079731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03797318,"about_ca_system_score_gemma":0.01510194,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9638545,"about_ca_topic_score_gemma":0.9865724,"domain_scores_codex":[0.9993221,0.00009747958,0.00001203165,0.00006801227,0.0001535564,0.0003469026],"domain_scores_gemma":[0.9991826,0.0001680546,0.00009912469,0.00003647321,0.0003146558,0.0001990827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006102383,0.0002202813,0.4299111,0.0003431554,0.00007512626,0.002945037,0.3007058,0.00100609,0.005316467,0.0939322,0.006555536,0.1583789],"study_design_scores_gemma":[0.00001396145,0.00004445887,0.7523044,0.0001269244,0.00003298827,0.0002949767,0.184489,0.0005148981,0.0007050264,0.0006755324,0.06073665,0.00006127961],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9452782,0.001128894,0.0001227762,0.0007775431,0.00001139607,0.00002689937,0.0001436262,0.000006058488,0.0525045],"genre_scores_gemma":[0.9968988,0.0003474932,0.0001092488,0.00002709359,0.000001289104,0.000003596347,0.00003691076,0.00000392185,0.002571631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03797318,"threshold_uncertainty_score":0.275516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03604973497295181,"score_gpt":0.2512698027081325,"score_spread":0.2152200677351807,"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."}}