{"id":"W2167579344","doi":"10.5430/bmr.v1n3p61","title":"Brand-Building of Pay TV Channel","year":2012,"lang":"en","type":"article","venue":"Business and Management Research","topic":"Media Studies and Communication","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Education of the People's Republic of China","keywords":"Advertising; China; Business; Broadcasting (networking); Channel (broadcasting); Marketing; Telecommunications; Political science; Computer 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":[0.0009953367,0.0001666521,0.0001106365,0.001331394,0.001650088,0.004058644,0.0004114506,0.0007294369,0.01036523],"category_scores_gemma":[0.002230698,0.0001696028,0.0002122876,0.00111977,0.001646805,0.00421559,0.001322451,0.000921867,0.0006217652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00225645,"about_ca_system_score_gemma":0.001286272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003625299,"about_ca_topic_score_gemma":0.004082979,"domain_scores_codex":[0.9993487,0.0001639107,0.0000171593,0.00008053305,0.0002414825,0.0001481663],"domain_scores_gemma":[0.9989309,0.0003082486,0.0001359185,0.00009583416,0.0003531571,0.0001759278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001380692,0.0002436519,0.03911214,0.0005192077,0.0000422517,0.0004559899,0.02286434,0.0004339375,0.006786333,0.6568652,0.01280916,0.2597298],"study_design_scores_gemma":[0.00004940079,0.0003828099,0.2109226,0.001010017,0.0002565096,0.001416599,0.06338558,0.005302338,0.01683456,0.1840092,0.5162718,0.0001585634],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3090065,0.002217023,0.007540949,0.004481537,0.0002535359,0.0001379005,0.0001116939,0.00007404709,0.6761769],"genre_scores_gemma":[0.9737849,0.001086662,0.001760965,0.000424682,0.00008758569,0.00002918623,0.0000415485,0.00002059332,0.02276382],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01036523,"threshold_uncertainty_score":0.03467512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1508607345379601,"score_gpt":0.4293165951115112,"score_spread":0.2784558605735511,"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."}}