{"id":"W4251096156","doi":"10.22230/cjc.2007v32n1a1809","title":"Digital Audio Broadcasting in Canada: Technology and Policy in the Transition to Digital Radio","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"ICT Impact and Policies","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"General Motors of Canada","keywords":"Pace; Digital radio; Telecommunications; Broadcasting (networking); Digital broadcasting; Digital audio broadcasting; Transition (genetics); Radio broadcasting; Government (linguistics); Political science; Business; Advertising; Engineering; Computer science; Geography; Computer security","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002091605,0.0003519132,0.0002812688,0.002878508,0.01279604,0.01059849,0.001371568,0.003564587,0.006986261],"category_scores_gemma":[0.00608294,0.0003156857,0.0004194085,0.00495056,0.006126197,0.002551739,0.002129438,0.002792439,0.0004754304],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2233969,"about_ca_system_score_gemma":0.3665107,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9963179,"about_ca_topic_score_gemma":0.9960602,"domain_scores_codex":[0.9940817,0.0003875344,0.0001294968,0.0002985977,0.002508513,0.002594209],"domain_scores_gemma":[0.9949782,0.0007179559,0.000264929,0.00005856565,0.002355326,0.001624828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001957493,0.0001270439,0.01902757,0.0008676103,0.00003953452,0.001097649,0.01192256,0.003850936,0.001982043,0.7403963,0.08391932,0.1365738],"study_design_scores_gemma":[0.0000462982,0.00007241561,0.04589269,0.000958119,0.00005625414,0.0002394669,0.02260972,0.00189147,0.00135839,0.01821039,0.9084965,0.0001683275],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1576731,0.0532749,0.002895851,0.3263223,0.001016255,0.0001923311,0.001508462,0.0002305336,0.4568863],"genre_scores_gemma":[0.846285,0.03524252,0.00395018,0.02668736,0.0002212679,0.00007792416,0.0004917741,0.00006702598,0.08697688],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2233969,"threshold_uncertainty_score":0.9007495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007799835726893619,"score_gpt":0.2126255631144125,"score_spread":0.2048257273875189,"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."}}