{"id":"W4310436358","doi":"10.21432/cjlt28262","title":"Defining and Exploring Broadband Connections and Education Solutions in Canada’s North","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Learning and Technology","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University; Aurora College","funders":"Beijing Normal University; Athabasca University","keywords":"Geospatial analysis; Internet access; Broadband; Digital divide; Upload; Telecommunications; The Internet; Variety (cybernetics); Computer science; Download; Distance education; World Wide Web; Geography; Remote sensing; Sociology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001169711,0.00004340453,0.00008425256,0.0004108076,0.0005213395,0.00001955438,0.00003762244,0.00001820676,0.0002011383],"category_scores_gemma":[0.00005951468,0.00004615673,0.000004877905,0.000206896,0.00005309381,0.00006730623,0.00000783674,0.0003433127,2.966655e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003604985,"about_ca_system_score_gemma":0.001438804,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8982167,"about_ca_topic_score_gemma":0.9992245,"domain_scores_codex":[0.9995881,0.00003004988,0.0001082351,0.0000715476,0.00003914221,0.0001629647],"domain_scores_gemma":[0.999709,0.00005268486,0.00005494655,0.00002386773,0.00002107056,0.0001384113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001625432,7.675195e-7,0.9506704,0.000003199999,0.000002975767,0.00002638027,0.0003261683,0.000257017,0.000002435629,0.0001053979,0.0001216923,0.04848193],"study_design_scores_gemma":[0.0001882163,0.0001382675,0.9111966,0.0000231341,0.000009864983,0.001440165,0.02765186,0.0005709489,0.000001901834,0.0002450047,0.05843978,0.000094257],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875585,0.009785784,8.679316e-7,0.002099718,0.0001858169,0.00002111509,0.00005386509,0.000002759681,0.0002915658],"genre_scores_gemma":[0.9993552,0.000515907,0.00001893097,0.00003728006,0.0000160973,0.000001091557,0.00002363544,0.000001669837,0.0000302037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1010078,"threshold_uncertainty_score":0.4009774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02778851243772582,"score_gpt":0.2014598924266363,"score_spread":0.1736713799889104,"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."}}