{"id":"W2294464289","doi":"10.3233/978-1-61499-415-2-407","title":"Access to Internet in Rural and Remote Canada","year":2014,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nuu Chah Nulth Tribal Council; University of British Columbia","funders":"","keywords":"The Internet; Internet access; Context (archaeology); Geography; Literacy; Population; Rural area; Digital divide; Broadband; Rural population; Socioeconomics; Economic growth; Telecommunications; Political science; Sociology; World Wide Web; Computer science; Demography","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":[0.0003731718,0.0002390118,0.0003488887,0.002103059,0.006559745,0.002043177,0.0007265862,0.0002909273,0.0046615],"category_scores_gemma":[0.001727024,0.0002344448,0.0003279793,0.004758607,0.00134993,0.0006084815,0.001660515,0.0009156081,0.0002520548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02560387,"about_ca_system_score_gemma":0.04786069,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9963183,"about_ca_topic_score_gemma":0.997977,"domain_scores_codex":[0.9990108,0.00005422578,0.000033965,0.0001171386,0.0002755662,0.0005083359],"domain_scores_gemma":[0.9980444,0.0001583405,0.000237966,0.0000324185,0.0005973618,0.0009295261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002367671,0.0003335323,0.8890765,0.0003273221,0.00008553865,0.001435007,0.03722733,0.0003779618,0.0008799111,0.003510908,0.007803131,0.05870609],"study_design_scores_gemma":[0.00002013034,0.0000709616,0.9543903,0.0001824364,0.00003219481,0.0003631756,0.03579666,0.0003481894,0.0001272352,0.0003924446,0.008230442,0.00004585271],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832718,0.001276602,0.00009427585,0.001146289,0.0000166948,0.00005455904,0.001716699,0.00001483984,0.01240833],"genre_scores_gemma":[0.994928,0.001359524,0.0001130866,0.0002990218,0.000006986575,0.00001757013,0.0004787514,0.000008663481,0.002788346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02560387,"threshold_uncertainty_score":0.1857699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05611224800611874,"score_gpt":0.4370948497771463,"score_spread":0.3809826017710276,"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."}}