{"id":"W2279992160","doi":"","title":"From bunny ears to smart phones : the development of broadcast technology and policy, audience viewing trends and measurement methods throughout the history of television in canada","year":2015,"lang":"en","type":"dissertation","venue":"Trepo - Institutional Repository of Tampere University","topic":"Media, Journalism, and Communication History","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telecommunications; Advertising; Broadcast television systems; Broadcasting (networking); Multimedia; Computer science; Business; Computer security","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":[0.0004860607,0.0001412122,0.0003178101,0.0003818359,0.0004094917,0.000005992596,0.0003682475,0.00006818357,0.00002248637],"category_scores_gemma":[0.0001179043,0.0001071081,0.00004364917,0.0001209852,0.0006320172,0.00009673976,0.00009988892,0.0002107341,1.350325e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002145085,"about_ca_system_score_gemma":0.005813519,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4041508,"about_ca_topic_score_gemma":0.601469,"domain_scores_codex":[0.9986522,0.000184229,0.000427246,0.0001825649,0.0004588559,0.00009493542],"domain_scores_gemma":[0.998576,0.0001027223,0.000505131,0.0002851783,0.0004776706,0.0000533419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005742358,0.0002423538,0.003157561,0.0003861911,0.0005181289,0.00002887149,0.7669616,0.000118413,0.009961406,0.0180368,0.004526362,0.1954881],"study_design_scores_gemma":[0.0004162504,0.00005224468,0.02433607,0.0006752386,0.0001355441,0.00001210259,0.09098239,0.00002421931,0.001068992,0.0001985443,0.8818619,0.000236511],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9612478,0.01127603,0.00003804914,0.0003565835,0.001244714,0.0001630268,0.00003142837,0.000008196456,0.02563419],"genre_scores_gemma":[0.9949287,0.0001813927,0.0009407802,0.00002172297,0.00004891398,0.000002515358,0.00002152162,0.000005636963,0.003848833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8773355,"threshold_uncertainty_score":0.9998226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06244177429615624,"score_gpt":0.2828983815460543,"score_spread":0.220456607249898,"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."}}