{"id":"W7133005693","doi":"","title":"Análisis del uso de analítica de datos como recurso creativo en campañas de publicidad digital.","year":2021,"lang":"es","type":"article","venue":"Repositorio Digital Universidad Autonoma de Occidente","topic":"Advertising and Communication Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Identification (biology); Identity (music)","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":[0.007641132,0.0003807785,0.0003305798,0.01189277,0.003610144,0.0081169,0.001038483,0.0008894789,0.01258878],"category_scores_gemma":[0.0302733,0.0003666039,0.0004544288,0.01823962,0.003375239,0.008945375,0.004831572,0.001691301,0.001357608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005751863,"about_ca_system_score_gemma":0.006150919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03646074,"about_ca_topic_score_gemma":0.04840351,"domain_scores_codex":[0.9940798,0.002509126,0.0004553136,0.0006863124,0.001837626,0.0004318501],"domain_scores_gemma":[0.9625036,0.02000495,0.004899942,0.002969616,0.008656565,0.0009653891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002175742,0.0002003761,0.2718728,0.002656698,0.0001442464,0.001174057,0.4262057,0.0003841444,0.002284654,0.108308,0.02264446,0.1639073],"study_design_scores_gemma":[0.00001023804,0.00006805558,0.1804707,0.001914652,0.00007271869,0.0004139289,0.6195233,0.000496235,0.001290148,0.01075637,0.1849219,0.00006185549],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7834222,0.004339834,0.008035028,0.009399751,0.0002962299,0.0008714241,0.008821453,0.0001851429,0.184629],"genre_scores_gemma":[0.9668294,0.002322451,0.005573933,0.0004531984,0.00005831724,0.0005137674,0.002496202,0.00008575489,0.02166704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03646074,"threshold_uncertainty_score":0.07249707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009733836234237759,"score_gpt":0.2863534087889868,"score_spread":0.2766195725547491,"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."}}