{"id":"W7100873245","doi":"","title":"Printed in SpainLEARNING SUPPORTED BY BROADBAND IN A CANADIAN CONTEXT: BENEFITS AND CHALLENGES","year":2011,"lang":"en","type":"article","venue":"","topic":"Digital Communication and Language","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Broadband; Key (lock); Process (computing); Work (physics); Broadband networks","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":[],"consensus_categories":[],"category_scores_codex":[0.0002288184,0.00006161657,0.00008348278,0.0001608356,0.00001856124,0.00004676894,0.0003436955,0.00003430323,0.00006075365],"category_scores_gemma":[0.0000369859,0.00005846715,0.00000788534,0.000144875,0.00001958029,0.0002573545,0.0001012641,0.00009105638,0.00001053637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002812199,"about_ca_system_score_gemma":0.00005365248,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2234253,"about_ca_topic_score_gemma":0.8795462,"domain_scores_codex":[0.9994267,0.00004309242,0.0001171201,0.000160535,0.00004889991,0.0002036576],"domain_scores_gemma":[0.999534,0.00002882405,0.00002067425,0.0002649117,0.00001451376,0.0001371446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000005359458,0.00009364669,0.05171815,0.00001167181,0.000005859148,0.00003955195,0.01644119,0.000001088949,0.00003663018,0.3300759,0.0001127087,0.6014583],"study_design_scores_gemma":[0.001494328,0.0001481549,0.85628,0.0001393918,0.000001371692,0.00002879262,0.003650721,0.007811914,0.0008770129,0.0007367998,0.1283018,0.000529796],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4582562,0.006374743,0.0001788784,0.002535289,0.00001927511,0.0001856354,0.00000213793,0.000083388,0.5323645],"genre_scores_gemma":[0.9985193,0.0002928356,0.0004423887,0.0004071463,6.424552e-7,0.000005045906,0.000002293406,0.000003428013,0.0003269291],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8045618,"threshold_uncertainty_score":0.7817459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04475489810796745,"score_gpt":0.2294082584577067,"score_spread":0.1846533603497392,"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."}}