{"id":"W2413945569","doi":"10.22230/cjc.2016v41n2a3033","title":"Small Among Giants: Television Broadcasting in Smaller Countries","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"ICT Impact and Policies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Broadcasting (networking); Advertising; Telecommunications; Business; Computer science; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003016942,0.00007074978,0.0001148813,0.0002757459,0.00005959969,0.00004231806,0.0002933062,0.00005581952,0.00007147835],"category_scores_gemma":[0.0001231482,0.0000546249,0.00002994691,0.0001069189,0.00006567954,0.0002658602,0.000008194092,0.0001454267,0.00001329021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002034296,"about_ca_system_score_gemma":0.000145178,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002622748,"about_ca_topic_score_gemma":0.05305958,"domain_scores_codex":[0.9994168,0.00004527134,0.0002766797,0.00001649475,0.00005497362,0.0001897589],"domain_scores_gemma":[0.9993545,0.00009939818,0.00007845943,0.0002115375,0.00008440129,0.000171651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003834251,0.00002180134,0.6664646,0.0001071461,0.0001299404,0.00004208989,0.04230883,0.008296566,0.006183459,0.003036293,0.01541044,0.2579606],"study_design_scores_gemma":[0.001201973,0.00008612946,0.8317332,0.002402526,0.00002217112,0.0001138297,0.001744269,0.0009293054,0.003170019,0.0007715258,0.1574125,0.000412602],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928569,0.002089965,0.0004119766,0.0007664377,0.0001195201,0.0000388897,0.000004372698,0.00001071475,0.003701288],"genre_scores_gemma":[0.9989594,0.0006606705,0.0001754396,0.00004891311,0.00004503193,7.581758e-7,9.364626e-7,0.00001411899,0.00009471123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2575479,"threshold_uncertainty_score":0.9642196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02090367913047048,"score_gpt":0.2169211545037463,"score_spread":0.1960174753732758,"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."}}