{"id":"W6963002823","doi":"10.17632/ttszkr6xb4.1","title":"Digital Divide Dataset","year":2023,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"ICT Impact and Policies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"The Internet; National accounts; Value (mathematics); Time series; Quarter (Canadian coin); Agriculture; Digital divide; European union; Series (stratigraphy)","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":[0.0008558252,0.000861169,0.0006311635,0.003495637,0.0006635481,0.001203741,0.001637895,0.001426438,0.02462847],"category_scores_gemma":[0.004496903,0.0002554822,0.00067924,0.00574884,0.0002706499,0.00104196,0.001266303,0.001354131,0.0310069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001146662,"about_ca_system_score_gemma":0.001370481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01611708,"about_ca_topic_score_gemma":0.02439812,"domain_scores_codex":[0.9991819,0.0001351454,0.0001188159,0.0001933205,0.000249996,0.0001207366],"domain_scores_gemma":[0.9981494,0.0003909121,0.0002321262,0.0004824624,0.0005949772,0.0001501184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001809794,0.000145898,0.007284609,0.0005997999,0.00004942968,0.00009084887,0.0000827628,0.0009984545,0.000309631,0.002650728,0.9734253,0.01418157],"study_design_scores_gemma":[0.000145789,0.00003686496,0.01647789,0.0001579172,0.00002428906,0.00008687868,0.0002333508,0.001075942,0.0005205895,0.001208863,0.9800086,0.00002307696],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001200012,0.0000606204,0.0001336381,0.0001101063,0.00002283284,0.0000380263,0.9965759,0.0002150761,0.001643709],"genre_scores_gemma":[0.00180791,0.00004945758,0.0004486866,0.00005060577,0.000007930733,0.0001137484,0.9965624,0.0000214652,0.0009378551],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02462847,"threshold_uncertainty_score":0.08239043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01754861761675641,"score_gpt":0.250476118746657,"score_spread":0.2329275011299006,"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."}}