{"id":"W4254481756","doi":"10.18080/jtde.v5n4.129","title":"An Introduction to Telecommunications Policy in Canada","year":2017,"lang":"en","type":"article","venue":"Journal of Telecommunications and the Digital Economy","topic":"ICT Impact and Policies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Telecommunications; Telecommunications service; Legislature; Enhanced Telecom Operations Map; Key (lock); Digital economy; Information policy; Business; Service provider; Marketing; Computer science; Service (business); Political science; Computer security; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.0001916231,0.00006927985,0.000151119,0.0001236411,0.0002554273,0.0003486261,0.0008783053,0.00001630449,0.000006321534],"category_scores_gemma":[0.0001145392,0.00005322696,0.00003019321,0.00006471441,0.00007634337,0.000697934,0.00007976632,0.0001911201,0.000002173114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001961517,"about_ca_system_score_gemma":0.0002342348,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09367111,"about_ca_topic_score_gemma":0.2825453,"domain_scores_codex":[0.9995186,0.0000233936,0.0002885562,0.00002284833,0.00003081291,0.0001158262],"domain_scores_gemma":[0.9987333,0.000088583,0.0001262992,0.000925755,0.00004300575,0.00008309236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002149316,0.0003920947,0.08031233,0.00007257626,0.0006678868,0.000002767708,0.01915479,0.1166927,0.0002386629,0.2203791,0.03749102,0.5243811],"study_design_scores_gemma":[0.001722275,0.00009082678,0.2191639,0.0000369324,0.00002663156,0.0002055843,0.004205271,0.00620281,0.0002354872,0.006760678,0.7609798,0.0003698505],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8708117,0.0004328433,0.0001353746,0.08499227,0.0001151079,0.0001426668,0.00001859579,0.00001137976,0.04334008],"genre_scores_gemma":[0.9989647,0.000355531,0.0002518224,0.0001827639,0.0001795931,0.000006113613,0.000003334137,0.000008892457,0.00004730219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7234887,"threshold_uncertainty_score":0.9123642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008675271194351722,"score_gpt":0.2431412350427925,"score_spread":0.2344659638484408,"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."}}