{"id":"W4386337117","doi":"10.32782/business-navigator.72-11","title":"MARKETING TECHNOLOGIES OF STREAMING SERVICE PROMOTION IN THE CONDITIONS OF INTENSIFYING DIGITAL COMPETITION","year":2023,"lang":"en","type":"article","venue":"Business Navigator","topic":"Strategic Planning and Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Service (business); Promotion (chess); Competitor analysis; Competition (biology); Advertising; Product (mathematics); Live streaming; Computer science; Distribution (mathematics); Business; Marketing; Multimedia","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000425198,0.00009853851,0.0001844524,0.0003686938,0.00008193868,0.0001012443,0.0002057415,0.00005311412,0.000009367386],"category_scores_gemma":[0.0005157707,0.00007614222,0.00004290991,0.003527686,0.00006405731,0.0005366041,0.0000804203,0.0000921189,0.00002095154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008744162,"about_ca_system_score_gemma":0.00001542056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002307348,"about_ca_topic_score_gemma":0.00002617333,"domain_scores_codex":[0.999215,0.00001167548,0.0002883896,0.0001425932,0.0001957897,0.0001465518],"domain_scores_gemma":[0.9990939,0.0001330379,0.0002623369,0.0001546041,0.0003537144,0.000002425863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001846718,0.0009370572,0.8380499,0.008939251,0.000243406,0.0001968841,0.001117111,0.005592582,0.06520701,0.03612433,0.002387338,0.04102039],"study_design_scores_gemma":[0.000809369,0.00001095103,0.9130359,0.003695356,0.0001499227,0.00001112268,0.04351999,0.03073278,0.0005977928,0.006363182,0.0006733077,0.0004002807],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963586,0.00001857772,0.00004968907,0.001827827,0.00006218671,0.0001127726,0.00001857477,0.00017581,0.00137601],"genre_scores_gemma":[0.9995208,0.000005257469,0.00002121,0.00004675579,0.0000741345,0.00001535633,0.0002997936,0.000008774935,0.00000791102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07498597,"threshold_uncertainty_score":0.310499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03018646994563524,"score_gpt":0.2501828245200313,"score_spread":0.219996354574396,"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."}}