{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01415511,0.0006159798,0.0002950468,0.001641901,0.008580049,0.01585752,0.001048757,0.007024294,0.001923609],"category_scores_gemma":[0.009393615,0.0004238092,0.0005437746,0.001821604,0.02962455,0.01526204,0.007271808,0.01192257,0.0002810109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01429903,"about_ca_system_score_gemma":0.01226014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00967663,"about_ca_topic_score_gemma":0.00765688,"domain_scores_codex":[0.9916607,0.004211654,0.0002399035,0.0007609545,0.001848573,0.001278336],"domain_scores_gemma":[0.9956563,0.002139755,0.0005888792,0.0003863738,0.0006571484,0.0005716078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000004368886,0.000004490497,0.0001002479,0.000005839179,8.320968e-7,0.00002443474,0.002823037,0.0002497582,0.00005817438,0.9940063,0.0007852523,0.001937252],"study_design_scores_gemma":[0.000009833471,0.00003442417,0.0006871931,0.0001489539,0.000006903664,0.00009681863,0.01237142,0.001319587,0.0003754796,0.8633916,0.121521,0.0000367772],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08318583,0.008446199,0.05792579,0.3117114,0.00186208,0.00007229541,0.00008302815,0.0001067011,0.5366067],"genre_scores_gemma":[0.9772503,0.001989966,0.00709232,0.00630328,0.0002833771,0.00006652069,0.00003121225,0.00004380652,0.006939251],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.99142,"threshold_uncertainty_score":0.1037472,"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."}}