{"id":"W4245802190","doi":"10.32920/ryerson.14649813","title":"A Finding Aid for 25 Years of Advertisements in the Kodak Advertising Collection, George Eastman Archives and Study Center","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Media, Gender, and Advertising","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"George (robot); Advertising; Photography; Art; Art history; Visual arts; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009558523,0.0001712808,0.0003454323,0.000215981,0.000380002,0.0001479999,0.0003358472,0.0001094131,0.00005410292],"category_scores_gemma":[0.0003420719,0.000155452,0.0001191083,0.0002574105,0.0001491326,0.00008759199,0.0003057971,0.0002663526,4.428828e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007683993,"about_ca_system_score_gemma":0.0002963822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003100864,"about_ca_topic_score_gemma":0.01178521,"domain_scores_codex":[0.9977356,0.0005210663,0.0004485757,0.0004649526,0.0004594019,0.0003704679],"domain_scores_gemma":[0.9990743,0.0003725883,0.0001792141,0.0002464775,0.00004942603,0.00007800304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00005663775,0.0006518944,0.4352963,0.0002848947,0.0001572852,0.00001771823,0.5444678,0.00003779695,0.0001693664,0.0004395197,0.0003012159,0.01811957],"study_design_scores_gemma":[0.003006443,0.000153879,0.5124075,0.001105496,0.0001332871,0.000003099645,0.4756571,0.0005281826,0.0001108293,0.002724188,0.003647269,0.0005226939],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864579,0.0003198272,0.001475613,0.0002964176,0.0006545968,0.00170731,0.00001271835,0.00001914643,0.009056472],"genre_scores_gemma":[0.9965184,0.000320557,0.001125004,0.0001371135,0.0001449018,0.00009428059,0.00001569527,0.00001614626,0.001627943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07711124,"threshold_uncertainty_score":0.6576423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04793601061436761,"score_gpt":0.3470504437804082,"score_spread":0.2991144331660406,"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."}}