{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0005378911,0.000518592,0.0006573235,0.0002578785,0.001673853,0.006608099,0.001325885,0.0004491005,0.00004152006],"category_scores_gemma":[0.001446897,0.0006279282,0.0004952595,0.001327898,0.0005715828,0.00283358,0.000968396,0.0006222366,0.00008602499],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004122316,"about_ca_system_score_gemma":0.003756433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002867102,"about_ca_topic_score_gemma":0.0001797628,"domain_scores_codex":[0.9959238,0.0006122881,0.0006493151,0.0007919436,0.0006772544,0.001345402],"domain_scores_gemma":[0.9959246,0.001040871,0.000484289,0.001146024,0.0006267232,0.0007774769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001512802,0.0009715072,0.8973358,0.00008821232,0.001407576,0.001717374,0.02839894,0.0001492214,0.0006396829,0.03935723,0.01052817,0.01925503],"study_design_scores_gemma":[0.001541446,0.0002716343,0.1739821,0.0009977404,0.0006666345,0.0007725431,0.0788659,0.001025,0.002309097,0.002795236,0.7351157,0.001656927],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7652588,0.002060098,0.00264378,0.004773058,0.0003889294,0.0002472621,0.0001670326,0.0003551563,0.2241059],"genre_scores_gemma":[0.9763364,0.001167653,0.0007968802,0.0002339909,0.0004684535,0.00001091733,0.00008423057,0.00006276174,0.02083871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7245876,"threshold_uncertainty_score":0.9997007,"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."}}