{"id":"W4247820400","doi":"10.32920/ryerson.14639475","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; Mobile service; Computer science; Digital television; Advertising; Business; Public broadcasting; Multimedia; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009774868,0.0004874583,0.0004071491,0.0009578404,0.01431066,0.007015456,0.001617047,0.007089078,0.01579231],"category_scores_gemma":[0.004112813,0.0001831029,0.0005151345,0.001969943,0.004109933,0.001769626,0.001287926,0.0060873,0.00169476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06800863,"about_ca_system_score_gemma":0.1220937,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9894195,"about_ca_topic_score_gemma":0.99371,"domain_scores_codex":[0.9971443,0.0002377655,0.00008035656,0.0002544879,0.001580482,0.0007025865],"domain_scores_gemma":[0.9965835,0.0005550634,0.00007498432,0.00006201331,0.00232567,0.0003988396],"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":[0.00002546555,0.000007371334,0.0005231932,0.0001937351,0.000006619833,0.000336515,0.004631613,0.0001143247,0.000311759,0.1059079,0.8715382,0.01640322],"study_design_scores_gemma":[0.000002421541,0.000002255111,0.0007215969,0.0001234909,0.000005375212,0.00004124013,0.001944812,0.00004072824,0.00006850317,0.0007657782,0.9962708,0.00001309612],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.005704834,0.03948865,0.0007276914,0.5385988,0.03308266,0.00004334416,0.001307911,0.0001368551,0.3809092],"genre_scores_gemma":[0.161702,0.03585087,0.00150731,0.307483,0.009500471,0.00006122516,0.0007365354,0.0002859582,0.4828727],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06800863,"threshold_uncertainty_score":0.4934395,"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."}}