{"id":"W2229898160","doi":"10.25916/sut.26224613","title":"Tipping points for broadband users","year":2024,"lang":"en","type":"article","venue":"Swinburne Research Bank (Swinburne University of Technology)","topic":"ICT Impact and Policies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Broadband; Tipping point (physics); Computer science; Business; Telecommunications; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007492374,0.0002248138,0.0003452112,0.002308386,0.0002681253,0.00006101653,0.0007565076,0.0003999904,0.0002531651],"category_scores_gemma":[0.0001728124,0.0002538657,0.0001972018,0.001840319,0.0005960115,0.0003419544,0.0002194245,0.0007585472,0.0001069367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002779903,"about_ca_system_score_gemma":0.0001412838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001357366,"about_ca_topic_score_gemma":0.0000432518,"domain_scores_codex":[0.9982616,0.00003156845,0.0002072618,0.0002236281,0.0003699195,0.0009060145],"domain_scores_gemma":[0.9988689,0.0002528007,0.0000229393,0.0004804868,0.0002302892,0.0001446258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003664487,0.0002322326,0.003183086,0.003433553,0.002066858,0.0003247955,0.01134089,0.001602211,0.1794678,0.06607051,0.5806249,0.1512867],"study_design_scores_gemma":[0.001390292,0.0005042109,0.0005834853,0.0008294638,0.00009614106,0.00004796969,0.009049807,0.00771027,0.07576802,0.01032542,0.893057,0.0006378502],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9606785,0.005942647,0.005280296,0.005711483,0.000497704,0.000867107,0.0001285631,0.002197535,0.0186962],"genre_scores_gemma":[0.9923126,0.001063111,0.001309732,0.00001104975,0.0001160831,0.000003127345,0.00001561143,0.00005717327,0.005111489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3124321,"threshold_uncertainty_score":0.9999914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02965616120063039,"score_gpt":0.2920074468177558,"score_spread":0.2623512856171254,"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."}}