{"id":"W4255571305","doi":"10.32920/ryerson.14639475.v1","title":"The Other Mobile TV: ATSC MDTV Broadcasting In Canada","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Broadcasting (networking); Telecommunications; Digital broadcasting; Service (business); Commercial broadcasting; Terrestrial television; Digital television; Mobile service; Computer science; Advertising; Business; Multimedia; Public broadcasting; Computer security; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005461792,0.0000834836,0.000135878,0.00003065973,0.0003036899,0.00007954852,0.0009660093,0.0001732061,0.001345122],"category_scores_gemma":[0.0003865398,0.00006594092,0.00003443543,0.0001626873,0.0001567343,0.00001867487,0.000708075,0.0005933561,0.000009399515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005290468,"about_ca_system_score_gemma":0.003773337,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9981618,"about_ca_topic_score_gemma":0.9998878,"domain_scores_codex":[0.9988417,0.00029965,0.0002122481,0.0001852018,0.0002166245,0.0002445617],"domain_scores_gemma":[0.9986372,0.0005306043,0.00009979572,0.0006212437,0.00006638892,0.00004474286],"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":[0.000005637796,0.00008871016,0.06391793,0.00003172385,0.0000740293,0.00002451296,0.02522715,0.0005136564,0.00004825092,0.06539273,0.0110796,0.8335961],"study_design_scores_gemma":[0.00009263461,0.000002023179,0.001803871,0.0000461313,0.00000343811,3.665609e-7,0.05348977,0.00165567,0.00005716599,0.0008588808,0.9418087,0.0001813739],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3142413,0.003615429,0.0001214529,0.02349065,0.001940836,0.0009935839,0.00000821899,0.0002197071,0.6553689],"genre_scores_gemma":[0.993838,0.0008449707,0.000782493,0.0003607881,0.00005438032,0.0001438871,0.00000462819,0.000008638541,0.003962279],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9307291,"threshold_uncertainty_score":0.9995678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03611458044843265,"score_gpt":0.3251398131983613,"score_spread":0.2890252327499286,"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."}}