{"id":"W2764269414","doi":"10.1109/ihtc.2017.8058183","title":"Recommended broadband capacity estimation system for school boards","year":2017,"lang":"en","type":"article","venue":"","topic":"ICT Impact and Policies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Broadband; Bandwidth (computing); Curriculum; Computer science; The Internet; Broadband networks; Process (computing); Reliability (semiconductor); Mathematics education; Telecommunications; Psychology; Pedagogy; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001713033,0.0009046204,0.0004341777,0.005265685,0.001572931,0.001798011,0.001960037,0.0006943141,0.02873325],"category_scores_gemma":[0.00771004,0.0004390466,0.0003903342,0.004501693,0.0003368654,0.001330978,0.0007369881,0.0007238994,0.006463689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009982255,"about_ca_system_score_gemma":0.01345969,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6661057,"about_ca_topic_score_gemma":0.6638702,"domain_scores_codex":[0.9977852,0.0003838015,0.0001336425,0.0003200112,0.001084169,0.0002930131],"domain_scores_gemma":[0.9939726,0.0003481541,0.0003308215,0.0002360622,0.004912432,0.0001999853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002150186,0.0002465337,0.07784874,0.0005193246,0.00005922194,0.0002658914,0.001039406,0.1330743,0.005843688,0.02887188,0.2688751,0.4831407],"study_design_scores_gemma":[0.0001312195,0.0002661748,0.164315,0.0006504567,0.0002145625,0.0003240307,0.003521084,0.4499174,0.01799801,0.01229044,0.3499812,0.0003904223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1244769,0.00138494,0.5063726,0.003546685,0.0003752265,0.002774565,0.06174375,0.02171292,0.2776124],"genre_scores_gemma":[0.6199207,0.001410964,0.2809982,0.0002933484,0.00007586623,0.001170652,0.02964315,0.000516913,0.06597012],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6661057,"threshold_uncertainty_score":0.6717212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02981604435597714,"score_gpt":0.272096176231887,"score_spread":0.2422801318759099,"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."}}