{"id":"W4401431020","doi":"10.1177/20501579241269653","title":"Shaping infrastructural futures: The International Telecommunication Union’s visions for mobile communications and the anticipatory politics of 5G standardization","year":2024,"lang":"en","type":"article","venue":"Mobile Media & Communication","topic":"ICT Impact and Policies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Australian Research Council","keywords":"Standardization; Vision; Futures contract; Telecommunications; Politics; Mobile telephony; European union; General partnership; Work (physics); Process (computing); Political science; Sociology; Business; Computer science; Engineering; International trade; Mobile radio; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009606075,0.0001495075,0.0001830491,0.0001348394,0.0005630443,0.0001620211,0.00128365,0.00008515736,0.00001833339],"category_scores_gemma":[0.0001434147,0.0001006517,0.00008831807,0.0002541848,0.0005829358,0.0002512365,0.0002647419,0.0003254384,0.000002118933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001171362,"about_ca_system_score_gemma":0.00006243126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001024169,"about_ca_topic_score_gemma":0.0001709315,"domain_scores_codex":[0.9989047,0.0002167294,0.0004376193,0.00006796566,0.000198165,0.0001747871],"domain_scores_gemma":[0.9959728,0.002219317,0.00009108038,0.00148492,0.000190922,0.00004097967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008939369,0.0001296738,0.000974537,0.0007058473,0.0008642566,1.436994e-7,0.3500563,0.04782991,0.0081937,0.3572387,0.0119911,0.2219264],"study_design_scores_gemma":[0.001479324,0.00009704226,0.004039726,0.0005895228,0.0002781402,0.00001824439,0.03182514,0.5599356,0.003080988,0.01388127,0.3843479,0.0004270871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8276423,0.1221536,0.02710244,0.01037744,0.002091291,0.004675667,0.0008383656,0.000876852,0.004242162],"genre_scores_gemma":[0.9814379,0.01620276,0.0009522045,0.0001041663,0.0001121403,0.0007117018,0.0004148777,0.00003504772,0.00002918416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5121057,"threshold_uncertainty_score":0.4330538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02004949236530477,"score_gpt":0.3048121008964664,"score_spread":0.2847626085311616,"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."}}