{"id":"W3195899866","doi":"10.32920/ryerson.14639475.v2","title":"Commentary The Other Mobile TV: ATSC MDTV Broadcasting In Canada","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","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":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001947215,0.0002273844,0.000268769,0.00006279915,0.00007953371,0.001308057,0.000414211,0.00006547758,0.00136756],"category_scores_gemma":[0.00001421397,0.000170326,0.00008068919,0.0001079799,0.00001895677,0.001106105,0.001426513,0.0003541645,0.00004520786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002835394,"about_ca_system_score_gemma":0.0002026198,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9906296,"about_ca_topic_score_gemma":0.9919198,"domain_scores_codex":[0.9988959,0.000001286383,0.0003663239,0.00031467,0.0001198385,0.0003019107],"domain_scores_gemma":[0.9993545,0.0000463658,0.0001929397,0.000363414,0.0000330451,0.000009783089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005204456,0.0002969822,0.2887517,0.001516376,0.0003845063,0.000221951,0.0002989948,0.09988237,0.00001204223,0.01147218,0.4341621,0.1629487],"study_design_scores_gemma":[0.0009008807,0.000005898454,0.01451587,0.0006241262,0.00008059155,0.000005576102,0.03072719,0.09146388,0.00002819063,0.008743289,0.8512003,0.001704215],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8757989,0.0001045887,0.00001582141,0.001267152,0.0009348399,0.0002967306,0.000007696504,0.0000278046,0.1215464],"genre_scores_gemma":[0.965026,0.000008759422,0.00004972513,0.03361625,0.0006860783,0.00005210686,0.0001528484,0.00003414436,0.0003740922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4170381,"threshold_uncertainty_score":0.9997287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01741740996101622,"score_gpt":0.1886012730932999,"score_spread":0.1711838631322837,"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."}}