{"id":"W4206533669","doi":"10.21203/rs.3.rs-702621/v1","title":"Gender representation in food and beverage print ads found in corner stores around schools in Peru and Guatemala","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Media, Gender, and Advertising","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Representation (politics); Advertising; Geography; Political science; Business","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004726688,0.0002106885,0.0004216214,0.0007819324,0.0002528731,0.0006715013,0.0002786666,0.000408331,0.00007103192],"category_scores_gemma":[0.002683589,0.0002237627,0.00004879689,0.0008874061,0.0003408986,0.0003675609,0.0008693641,0.001840349,0.00000327466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007631766,"about_ca_system_score_gemma":0.001451571,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01770593,"about_ca_topic_score_gemma":0.06966037,"domain_scores_codex":[0.9941045,0.002349173,0.0004780039,0.000964196,0.00131666,0.0007874496],"domain_scores_gemma":[0.9983979,0.0005937525,0.00008646584,0.0003927991,0.0002707412,0.0002583716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005746011,0.0001403031,0.8770446,0.0009663822,0.00002352225,0.0002672843,0.1129528,0.0004692247,0.0001690611,0.001326909,0.0000480797,0.006534399],"study_design_scores_gemma":[0.0008463177,0.00005267935,0.8211055,0.001334531,0.000003120874,0.000002827951,0.1661157,0.0005435406,0.0000525483,0.009411797,0.0002392232,0.0002921849],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895118,0.005617973,0.00004701808,0.000574409,0.0001818788,0.001294355,0.000008925581,0.00001837852,0.002745236],"genre_scores_gemma":[0.9942995,0.00469733,0.0001998219,0.00002512646,0.0002237964,0.0001725984,0.0000361066,0.00002392075,0.0003217484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05593899,"threshold_uncertainty_score":0.9888353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1966460481488373,"score_gpt":0.4633445538477355,"score_spread":0.2666985056988982,"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."}}