{"id":"W245248933","doi":"","title":"Deregulating Telecommunications: U.S. and Canadian Telecommunications, 1840-1996","year":2001,"lang":"en","type":"article","venue":"Journalism & Mass Communication Quarterly","topic":"ICT Impact and Policies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Telecommunications; Business; Political science; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008310803,0.0004555178,0.0002618428,0.003836912,0.004099878,0.004053604,0.001115921,0.001360686,0.007308636],"category_scores_gemma":[0.005759271,0.0003112704,0.0003092324,0.0164049,0.001986788,0.001520059,0.001155174,0.001578335,0.0008708145],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1535665,"about_ca_system_score_gemma":0.1769394,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9978703,"about_ca_topic_score_gemma":0.9994355,"domain_scores_codex":[0.9973804,0.00006725438,0.00008823802,0.0001958767,0.001185097,0.001083197],"domain_scores_gemma":[0.9957834,0.0001766158,0.0004856461,0.00007247856,0.002751784,0.0007301572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003346345,0.0001048973,0.2526616,0.0006885956,0.0001289629,0.00063163,0.01208545,0.005516712,0.001066397,0.155552,0.3430197,0.2282094],"study_design_scores_gemma":[0.00001681941,0.00002033318,0.5496613,0.0002386206,0.00006256624,0.0001354611,0.005772639,0.0005096343,0.0005821816,0.001476164,0.4414822,0.00004208213],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.409432,0.06748772,0.001144495,0.06986149,0.001416127,0.0002507245,0.09371846,0.0002888574,0.3564001],"genre_scores_gemma":[0.8220686,0.02883438,0.001070059,0.003421456,0.0002149761,0.00005203231,0.01050444,0.00005008415,0.1337841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1535665,"threshold_uncertainty_score":0.9817429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01424848454207279,"score_gpt":0.2493739640201655,"score_spread":0.2351254794780927,"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."}}