{"id":"W4390751155","doi":"10.21153/psj2023vol9no3art1906","title":"Role of Personas in Political Marketing in Canada","year":2024,"lang":"en","type":"article","venue":"Persona Studies","topic":"Persona Design and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Queen's University; McGill University; Princeton University","keywords":"Persona; Politics; Cohesion (chemistry); Consistency (knowledge bases); Political science; Public relations; Sociology; Law; Engineering; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002714977,0.00008787436,0.0001661729,0.0001118068,0.00003239851,0.00001991659,0.0002422437,0.00001683184,0.000006824086],"category_scores_gemma":[0.00008469811,0.00008061445,0.00003019552,0.0004818236,0.0000441125,0.00009807638,0.000106202,0.0001118983,0.000004651105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004476043,"about_ca_system_score_gemma":0.0004694442,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.32152,"about_ca_topic_score_gemma":0.4656513,"domain_scores_codex":[0.9990451,0.0000526263,0.0001646842,0.0002602721,0.0001802952,0.000297001],"domain_scores_gemma":[0.9993917,0.0003965672,0.00001419937,0.0001285411,0.00002567929,0.00004328471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001612348,0.0001166532,0.09274841,0.0005068338,0.000120455,0.0001876172,0.04033089,0.00002529442,0.007787493,0.7803296,0.004264235,0.07356637],"study_design_scores_gemma":[0.0006863081,0.00005872279,0.5456907,0.001139866,0.00002281346,0.0000402048,0.1466138,0.274668,0.001532876,0.01943846,0.009206422,0.0009019259],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9445556,0.03282845,0.0003480513,0.01001038,0.0001822592,0.00021592,0.00001715878,0.00007759363,0.01176456],"genre_scores_gemma":[0.9983095,0.0001063944,0.001310564,0.0001331051,0.00002406432,0.00003761706,3.766903e-7,0.00000451997,0.00007386345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7608911,"threshold_uncertainty_score":0.6829981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0230550969842167,"score_gpt":0.2736689313108692,"score_spread":0.2506138343266525,"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."}}