{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003605353,0.0001023964,0.0003093251,0.0001651889,0.0002404211,0.00001810536,0.000113277,0.00009163056,0.0002685164],"category_scores_gemma":[0.0003614962,0.00009230183,0.00007073148,0.0005308638,0.0005464001,0.0001215966,0.00005154892,0.0000764444,0.000004100381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001909231,"about_ca_system_score_gemma":0.000219096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008746306,"about_ca_topic_score_gemma":0.001326308,"domain_scores_codex":[0.9987554,0.00008695802,0.000205192,0.000259399,0.0004034921,0.0002895684],"domain_scores_gemma":[0.9991804,0.0002110905,0.00009252755,0.00009310611,0.00008491329,0.0003379454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00004892507,0.0001309174,0.3185017,0.00002540589,0.0004998156,0.00003239447,0.6296616,0.000001016567,0.01598687,0.005815457,0.004282067,0.02501377],"study_design_scores_gemma":[0.001554131,0.0002549709,0.8532144,0.00001838776,0.001227397,0.00001311061,0.1308192,0.0004357575,0.001581119,0.004350826,0.00598597,0.0005447392],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812258,0.0004901819,0.0003669591,0.0002794379,0.0001535431,0.0001017458,0.000007263386,0.00002774226,0.01734726],"genre_scores_gemma":[0.995873,0.002332146,0.0006291937,0.0001500449,0.0001255536,0.000003348258,0.000004442248,0.000005392744,0.0008769062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5347127,"threshold_uncertainty_score":0.3763959,"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."}}