{"id":"W2613630484","doi":"10.35921/jangada.v0i8.122","title":"A língua que é capaz de incluir ou excluir um indivíduo analisada em textos publicitários da Adidas","year":2018,"lang":"pt","type":"article","venue":"Jangada crítica | literatura | artes","topic":"Digital Communication and Language","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Adidas (Canada)","funders":"","keywords":"Humanities; Art; Context (archaeology); Sociology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.004597644,0.0005438578,0.0003465576,0.003997367,0.004995018,0.0099079,0.0007695283,0.001525407,0.0117077],"category_scores_gemma":[0.01676624,0.0002734197,0.0002652296,0.00479321,0.00633091,0.009481632,0.004150441,0.001394346,0.002096483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002752544,"about_ca_system_score_gemma":0.002121855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01026633,"about_ca_topic_score_gemma":0.01201214,"domain_scores_codex":[0.9938699,0.003783975,0.0004208859,0.0007025075,0.0009546751,0.0002680502],"domain_scores_gemma":[0.9881195,0.007667699,0.001338111,0.000869815,0.001686793,0.0003180029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001115023,0.00006390466,0.0291909,0.000937383,0.00003200115,0.0009842322,0.8001673,0.000154163,0.003511703,0.07091238,0.01305804,0.08087643],"study_design_scores_gemma":[0.000009489178,0.00004682825,0.0332672,0.001141593,0.00005275013,0.0009481166,0.6028588,0.0006381911,0.002394549,0.01255304,0.3460271,0.00006229536],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6298807,0.005795885,0.02475268,0.01952475,0.0009180533,0.0002873646,0.001469804,0.0004983442,0.3168724],"genre_scores_gemma":[0.9688318,0.00136905,0.005431107,0.0006700928,0.0001537175,0.0001502904,0.0002740232,0.0001332414,0.02298663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0117077,"threshold_uncertainty_score":0.03916615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02785741678185745,"score_gpt":0.2972326750732557,"score_spread":0.2693752582913983,"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."}}