{"id":"W6986136449","doi":"","title":"Old-fashioned women. The represetation of female image in the italian telefision advertising","year":2014,"lang":"en","type":"article","venue":"IRIS Research product catalog (Sapienza University of Rome)","topic":"Media, Gender, and Advertising","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Representation (politics); Image (mathematics); Frame (networking); Femininity","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008134065,0.0003407968,0.0001313309,0.001343303,0.002361173,0.003666967,0.0002208181,0.0005603486,0.00504948],"category_scores_gemma":[0.00109602,0.0001344254,0.0001477742,0.0009495188,0.006669178,0.001344616,0.000927933,0.000616348,0.0005642392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002599741,"about_ca_system_score_gemma":0.0005833677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01327457,"about_ca_topic_score_gemma":0.02781472,"domain_scores_codex":[0.9994478,0.000215012,0.000009648747,0.00005567912,0.0001499081,0.0001219721],"domain_scores_gemma":[0.9996505,0.0001135215,0.0001085732,0.00003013317,0.0000393246,0.00005799275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002546394,0.0000866005,0.05443931,0.0001561915,0.00001639443,0.001849544,0.6360821,0.00005287108,0.003140252,0.2200847,0.00912027,0.07471716],"study_design_scores_gemma":[0.00001960415,0.0002155967,0.3159128,0.000383075,0.00004797408,0.00307794,0.3056685,0.0002732335,0.001443178,0.009476782,0.3634286,0.00005259463],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.695026,0.003240834,0.0003837025,0.003977515,0.0001530284,0.00001352281,0.00005430276,0.00001461342,0.2971365],"genre_scores_gemma":[0.9867121,0.0004823725,0.00006093647,0.000204882,0.00007315759,0.000002363626,0.000008967793,0.000006577931,0.01244864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01327457,"threshold_uncertainty_score":0.02639461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0522931875932393,"score_gpt":0.3406471394348164,"score_spread":0.2883539518415771,"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."}}