{"id":"W2013317246","doi":"10.5539/ass.v4n12p38","title":"On Perspectives of Audience Studies","year":2009,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Media and Digital Communication","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Convergence (economics); Technological convergence; Audience participation; Space (punctuation); Target audience; Audience analysis; Public relations; Sociology; Multimedia; Advertising; Computer science; Political science; Telecommunications; Business; Social science; Economics; Artificial intelligence","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":[0.0003546879,0.00005822192,0.00009892985,0.00008449509,0.0003187519,0.00006065018,0.001294797,0.00001565252,0.000001295462],"category_scores_gemma":[0.0004190696,0.00004902156,0.00003161425,0.001023424,0.0006465786,0.0007039402,0.0001418517,0.00005850308,0.00001200933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006669901,"about_ca_system_score_gemma":0.0000979598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001500701,"about_ca_topic_score_gemma":7.670751e-7,"domain_scores_codex":[0.9990391,0.00002634952,0.0001069132,0.0002267984,0.0004217244,0.0001791248],"domain_scores_gemma":[0.9993206,0.00006197724,0.0000780582,0.0003158411,0.0001747936,0.00004868238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000001139154,0.00003616702,0.000009367687,8.131656e-7,9.696436e-7,4.741273e-7,0.01991009,1.986787e-7,0.0009629612,0.8066941,0.00011553,0.1722681],"study_design_scores_gemma":[0.0003119542,0.0008701999,0.1629203,0.00005884803,0.000004609823,0.000004322574,0.02681143,0.0003193642,0.01043481,0.7974792,0.0004074528,0.0003776156],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04707044,0.0003337107,0.008001064,0.008327683,0.0001859801,0.0001138221,6.025892e-7,0.00009338377,0.9358733],"genre_scores_gemma":[0.9972714,0.0000210223,0.002406108,0.0002217334,0.00002235091,0.000001679921,5.455646e-8,8.138634e-7,0.0000548231],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.950201,"threshold_uncertainty_score":0.2451614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03544795959502871,"score_gpt":0.3370886608304486,"score_spread":0.3016407012354199,"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."}}