{"id":"W2529160908","doi":"10.20381/ruor-4825","title":"From Lip Smackers to Wrinkle Cream: Priming the Next Generation of Consuming Women","year":2011,"lang":"en","type":"dissertation","venue":"Library and Archives Canada (Government of Canada)","topic":"Media, Gender, and Advertising","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wrinkle; Priming (agriculture); Food science; Medicine; Biology; Horticulture; Gerontology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002358307,0.0002944244,0.000226211,0.0002832219,0.002190457,0.001878934,0.0003184009,0.0006897966,0.01153075],"category_scores_gemma":[0.005906302,0.0002601745,0.0001529346,0.0001980671,0.000905233,0.0009749389,0.001159937,0.001003581,0.001722846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008453566,"about_ca_system_score_gemma":0.0008269558,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002139756,"about_ca_topic_score_gemma":0.004630622,"domain_scores_codex":[0.9991678,0.0004290587,0.00002008754,0.0001242311,0.0001021363,0.0001567265],"domain_scores_gemma":[0.9979934,0.001305113,0.0001382439,0.0001111152,0.000205351,0.0002468283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.003802679,0.004490248,0.04383181,0.0006888229,0.00002175375,0.001378834,0.7301855,0.00009699999,0.07724847,0.00956844,0.007134639,0.1215518],"study_design_scores_gemma":[0.0006846754,0.009583525,0.1324956,0.0006753094,0.0001688815,0.001021329,0.6391578,0.0008311495,0.0394199,0.006355381,0.1694366,0.0001699283],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9684719,0.0001437431,0.0009047338,0.0007185676,0.000114764,0.0005185648,0.00003567572,0.0000187872,0.02907328],"genre_scores_gemma":[0.9692754,0.0003516592,0.003771154,0.001309465,0.00008250502,0.0008598459,0.00005134309,0.00003681902,0.02426194],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9978603,"threshold_uncertainty_score":0.03857422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02872873263096311,"score_gpt":0.2093698081586264,"score_spread":0.1806410755276633,"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."}}