{"id":"W7036305425","doi":"","title":"Broadband Enabled Fabric for Public Libraries in Canada","year":2018,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Broadband; Internet access; Leverage (statistics); Population; Broadband networks; The Internet; Digital library; Context (archaeology)","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":[0.0006309115,0.000431562,0.0002773426,0.002073731,0.007316375,0.003908173,0.0013202,0.0005255881,0.01165994],"category_scores_gemma":[0.001604813,0.0003324372,0.0004582856,0.005394383,0.0006911903,0.001047556,0.001378192,0.0005332527,0.002396997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05295729,"about_ca_system_score_gemma":0.07465135,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9813803,"about_ca_topic_score_gemma":0.9905281,"domain_scores_codex":[0.9987773,0.00005116768,0.00002232649,0.00009247438,0.0006173731,0.0004392835],"domain_scores_gemma":[0.9984406,0.00006963606,0.00005723454,0.00006221988,0.001113236,0.0002570912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001109907,0.000463887,0.1196421,0.001173089,0.00009049762,0.003256678,0.005800423,0.03873309,0.02688881,0.07313626,0.166641,0.5630643],"study_design_scores_gemma":[0.00006277677,0.0003109311,0.268634,0.000461708,0.0001488633,0.0008614755,0.02910074,0.04945327,0.01837116,0.005847762,0.6264324,0.0003148638],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5933294,0.002678895,0.01210865,0.005583789,0.0002120763,0.0004125354,0.008234342,0.002649851,0.3747905],"genre_scores_gemma":[0.8651215,0.002043421,0.01226393,0.0004544326,0.00002193005,0.00007833652,0.00241791,0.0002327356,0.1173656],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05295729,"threshold_uncertainty_score":0.3842339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1788973259259314,"score_gpt":0.467861188588329,"score_spread":0.2889638626623976,"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."}}