{"id":"W4394285847","doi":"10.6084/m9.figshare.8116079","title":"How fast is Australia's broadband (vs OECD) - 2018?","year":2019,"lang":"en","type":"dataset","venue":"Figshare","topic":"ICT Impact and Policies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Broadband; Telecommunications; Computer science; Business; 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":[0.0006481922,0.000159106,0.0002240303,0.002496678,0.0004669193,0.003231212,0.0003436905,0.0004439519,0.01685894],"category_scores_gemma":[0.006225415,0.0001543747,0.0001947652,0.00445522,0.0003096325,0.002598967,0.0009043377,0.001050211,0.008111739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001759654,"about_ca_system_score_gemma":0.0017387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08069635,"about_ca_topic_score_gemma":0.08531192,"domain_scores_codex":[0.9990234,0.00006569474,0.0000802264,0.0001277531,0.0005486722,0.0001542044],"domain_scores_gemma":[0.9954803,0.0003726712,0.000723453,0.000125985,0.002902381,0.000395316],"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":[0.0001418454,0.00003496457,0.07170537,0.0005551074,0.0000526788,0.0002058373,0.00131794,0.0004302679,0.000551142,0.01232616,0.8112269,0.1014517],"study_design_scores_gemma":[0.000007181108,0.00003998827,0.349821,0.00021477,0.00002330254,0.0001507121,0.001800104,0.0004410777,0.0006149848,0.0007585112,0.6460934,0.00003495414],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.2603779,0.004854004,0.001397877,0.02793973,0.002914874,0.0001159571,0.2855372,0.001634459,0.415228],"genre_scores_gemma":[0.6287555,0.006179805,0.001657926,0.00533116,0.000963655,0.0002432819,0.1424509,0.0007787924,0.2136389],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.08069635,"threshold_uncertainty_score":0.1604533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05636827433276357,"score_gpt":0.2767141634266334,"score_spread":0.2203458890938698,"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."}}