{"id":"W4385778565","doi":"10.1093/lril/lrad011","title":"Money, magic, and machines: International Telecommunication Union and liberalisation of telecommunications networks and services (1970s–1990s)","year":2023,"lang":"en","type":"article","venue":"London Review of International Law","topic":"ICT Impact and Policies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telecommunications; Liberalization; Normative; Telecommunications service; Quarter (Canadian coin); Order (exchange); Business; Political science; Engineering; Law; Finance; Geography","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":[0.001289466,0.0003023023,0.0002576839,0.003771887,0.001948583,0.005085002,0.0003215846,0.001731235,0.003950747],"category_scores_gemma":[0.00372364,0.000210309,0.0001694511,0.0109495,0.005578978,0.004364887,0.002336748,0.002236777,0.0003536877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01365797,"about_ca_system_score_gemma":0.005166211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08086798,"about_ca_topic_score_gemma":0.1083515,"domain_scores_codex":[0.9991688,0.0002053895,0.00004728433,0.0001229194,0.0002323595,0.0002232514],"domain_scores_gemma":[0.998556,0.0006624426,0.0004223986,0.00004359639,0.0002091603,0.0001065549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001256102,0.00004677152,0.005814696,0.0004036572,0.00001637997,0.0004033303,0.009006656,0.0006555479,0.0001135989,0.907928,0.02284262,0.05264321],"study_design_scores_gemma":[0.00003442618,0.00004955602,0.06640303,0.002932524,0.00002704769,0.0002827445,0.0122405,0.0003327657,0.0003662798,0.06774581,0.8495589,0.00002639778],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1128011,0.468622,0.0004696722,0.06706711,0.00100877,0.00002547003,0.0005595684,0.00002028311,0.349426],"genre_scores_gemma":[0.7622129,0.2038688,0.000272117,0.004585796,0.001443126,0.00003382621,0.0002775067,0.00002108393,0.02728485],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08086798,"threshold_uncertainty_score":0.1607946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008959397073697674,"score_gpt":0.2650799379401785,"score_spread":0.2561205408664808,"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."}}