{"id":"W115387785","doi":"","title":"New Visual Media and Gender: A Content, Visual, and Audience Analysis of YouTube Vlogs","year":2008,"lang":"en","type":"article","venue":"NPARC","topic":"Gender, Feminism, and Media","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Visual media; Content analysis; Content (measure theory); Advertising; Multimedia; Computer science; Sociology; Business; Social science","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":[0.0007323079,0.0002419106,0.0002189929,0.004599006,0.001242818,0.001464991,0.0001907686,0.0002834293,0.003508742],"category_scores_gemma":[0.00314009,0.00009410407,0.0001319342,0.002826557,0.0009408816,0.001641959,0.0009323393,0.0002627521,0.0003000357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001264788,"about_ca_system_score_gemma":0.0004917455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01464246,"about_ca_topic_score_gemma":0.02429337,"domain_scores_codex":[0.9995609,0.0001675794,0.00001682716,0.00004175875,0.0001056933,0.0001072583],"domain_scores_gemma":[0.9981589,0.0009882663,0.0002919545,0.00004518127,0.0004004177,0.0001153102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0006066332,0.0001525862,0.2809992,0.0006036291,0.00004251932,0.002230195,0.5460934,0.0001536969,0.01395846,0.009205014,0.004674373,0.1412802],"study_design_scores_gemma":[0.00000698989,0.0001299816,0.5205836,0.0002278799,0.00002185263,0.0005737967,0.4487197,0.0006317931,0.002532754,0.001134325,0.02540901,0.00002825492],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841903,0.0003725398,0.0006686738,0.0002302114,0.00001605298,0.00005862794,0.0004547924,0.00001201687,0.0139967],"genre_scores_gemma":[0.9943451,0.0003287946,0.0005550931,0.00004465731,0.00002682411,0.0000751745,0.0003657216,0.00002231613,0.004236506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01464246,"threshold_uncertainty_score":0.02911448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1003911297831486,"score_gpt":0.3402852317089534,"score_spread":0.2398941019258048,"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."}}