{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01337679,0.0004627699,0.0006505611,0.00427897,0.04056523,0.01360763,0.001902122,0.001681086,0.006960552],"category_scores_gemma":[0.02412994,0.0005045434,0.0004064173,0.008346108,0.01526534,0.003386367,0.008015068,0.002781454,0.0004583959],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1601866,"about_ca_system_score_gemma":0.1975581,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9810214,"about_ca_topic_score_gemma":0.9829457,"domain_scores_codex":[0.9808831,0.009191674,0.0003946551,0.001523373,0.004404189,0.00360304],"domain_scores_gemma":[0.9765241,0.007927205,0.002113014,0.001266902,0.006731589,0.005437292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002046165,0.0001843938,0.08604987,0.0003608032,0.00004032175,0.0007154983,0.6676908,0.000392727,0.0005658061,0.1153338,0.01331309,0.1151483],"study_design_scores_gemma":[0.00002425548,0.00008548277,0.09459782,0.0007232705,0.00004403336,0.0002220132,0.6907782,0.001412146,0.0004722426,0.008396521,0.2031052,0.0001388453],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7509255,0.004482745,0.005755037,0.02342411,0.0003311959,0.0005446501,0.0004800835,0.0001926438,0.213864],"genre_scores_gemma":[0.9884053,0.0009193916,0.001472043,0.0008219011,0.00001085887,0.00007568701,0.00007745483,0.00003773814,0.008179593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1601866,"threshold_uncertainty_score":0.9740645,"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."}}