{"id":"W4407382019","doi":"10.1177/1329878x251319053","title":"Assessing early uptake and impacts of 5G mobile services for Australian consumers","year":2025,"lang":"en","type":"article","venue":"Media International Australia","topic":"ICT Impact and Policies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Australian Research Council","keywords":"Business; Advertising; Marketing","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":[0.00008168593,0.000114192,0.0001393991,0.000145216,0.00002342693,0.00009335105,0.000138154,0.00007159691,0.00007297276],"category_scores_gemma":[0.00002408025,0.0001108241,0.00004569278,0.0000819807,0.00005158781,0.0002720414,0.0000125748,0.00007468853,0.000005033444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003459219,"about_ca_system_score_gemma":0.0000146852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003777521,"about_ca_topic_score_gemma":0.00008575251,"domain_scores_codex":[0.9994318,0.000005527012,0.0002152865,0.00005620625,0.0001121594,0.0001789615],"domain_scores_gemma":[0.9996621,0.00009846479,0.00003898223,0.00007138687,0.00006785119,0.00006120719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001881605,0.0002031025,0.6015858,0.003238265,0.00233792,0.00001044551,0.03349108,0.003252543,0.2612809,0.02486101,0.03815454,0.03139626],"study_design_scores_gemma":[0.0009475097,0.0000508632,0.8600118,0.0003728618,0.0000797582,0.000005381071,0.001995748,0.0009471998,0.07629976,0.0007439721,0.05828054,0.0002645642],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970593,0.00004359544,0.00006442214,0.0001949427,0.001304429,0.0001428898,0.0001320225,0.00005032808,0.001008107],"genre_scores_gemma":[0.9980868,0.00002096456,0.0002739042,0.00002611619,0.00008110044,0.00002453793,0.00004293447,0.00001042102,0.001433287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.258426,"threshold_uncertainty_score":0.4519275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02798876603512498,"score_gpt":0.3339945973826964,"score_spread":0.3060058313475715,"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."}}