{"id":"W3123103622","doi":"","title":"Concentration, Incumbency, and Interconnection: Broadband Development and the Lessons of History","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"ICT Impact and Policies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Hindsight bias; Broadband; Politics; Telecommunications; Interconnection; Business; Economics; Political science; Engineering; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001922389,0.0003069783,0.0003044809,0.001630331,0.003162523,0.007024466,0.0009215798,0.003233517,0.007687546],"category_scores_gemma":[0.004355447,0.0002178547,0.0002176531,0.002989086,0.02154864,0.01367323,0.00397153,0.003358567,0.0006036878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008316195,"about_ca_system_score_gemma":0.003235888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009073587,"about_ca_topic_score_gemma":0.01237209,"domain_scores_codex":[0.9985517,0.0007152286,0.00003268706,0.0001658283,0.0002403962,0.0002941306],"domain_scores_gemma":[0.9979576,0.001171103,0.0002000867,0.0001241831,0.0002508883,0.0002960721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000007025119,0.000007660698,0.0002967936,0.00003919482,0.000002110112,0.0000414837,0.000605247,0.0004625953,0.0000321353,0.9838433,0.004297543,0.01036496],"study_design_scores_gemma":[0.00000724095,0.00001844656,0.0009062395,0.0003542776,0.000004475884,0.00008281274,0.002391553,0.0004592305,0.0001291167,0.7944977,0.2011334,0.0000154753],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03293323,0.0697091,0.01314231,0.2895329,0.0008444338,0.00002458543,0.00009090145,0.0000655729,0.5936569],"genre_scores_gemma":[0.8861834,0.04903658,0.002680897,0.0181097,0.001657662,0.00005789494,0.00006773156,0.00008139678,0.04212467],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009073587,"threshold_uncertainty_score":0.06033844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01508605421277954,"score_gpt":0.2074711199562157,"score_spread":0.1923850657434362,"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."}}