{"id":"W4405641750","doi":"10.1080/17400309.2024.2418249","title":"TV plus what? data-capital, brand extension, and lock-in effects in the Apple ecosystem","year":2024,"lang":"en","type":"article","venue":"New Review of Film and Television Studies","topic":"Digital Games and Media","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Dynamism; Advertising; Vision; Vertical integration; Marketing; Business; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00159775,0.0001102793,0.0004615697,0.00005172876,0.00005354472,0.0001386794,0.0001729936,0.00003397073,0.00001036128],"category_scores_gemma":[0.0007334945,0.00006148188,0.000035888,0.0003189146,0.0001216171,0.0004670875,0.0001673953,0.00008398396,0.000007430932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001519987,"about_ca_system_score_gemma":0.00007800494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001170357,"about_ca_topic_score_gemma":0.001071169,"domain_scores_codex":[0.9988302,0.0001508574,0.0002958567,0.0002889515,0.0002741131,0.0001600226],"domain_scores_gemma":[0.9987448,0.0008864588,0.00005188648,0.0002217181,0.00003781271,0.0000572813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003496783,0.00001324215,0.0001038522,0.007823389,0.0000181199,0.00002615579,0.00873094,1.323263e-7,0.00000194747,0.001691849,0.04302107,0.9385658],"study_design_scores_gemma":[0.0002346857,0.00005145746,0.001039939,0.03125493,0.00004024838,0.000005184363,0.01097815,0.00002167713,0.000001350318,0.0004481718,0.9558357,0.0000884804],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02940679,0.9641151,0.000004875773,0.003149305,0.0003175056,0.0006564367,0.00001081178,0.00001266242,0.002326554],"genre_scores_gemma":[0.1680124,0.8308595,0.00003387779,0.0004516837,0.00009413431,0.000013534,0.000005706739,0.00000475461,0.0005244092],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9384773,"threshold_uncertainty_score":0.2507158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05065715207462299,"score_gpt":0.3658848724815424,"score_spread":0.3152277204069194,"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."}}