{"id":"W3173947472","doi":"10.29173/irie8","title":"Information Divide, Information Flow and Global Justice","year":2007,"lang":"en","type":"article","venue":"The International Review of Information Ethics","topic":"Information Society and Technology Trends","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information flow; Digital divide; Economic Justice; Political science; Computer science; World Wide Web; The Internet; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008035296,0.0001173234,0.0001538729,0.0001336571,0.0005875331,0.0001531521,0.0005594444,0.0002627205,0.0001487952],"category_scores_gemma":[0.006394156,0.00009308946,0.00008857076,0.0005485477,0.0004280606,0.009539141,0.0001277578,0.0004710987,0.0002295324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001998993,"about_ca_system_score_gemma":0.0003159335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001806038,"about_ca_topic_score_gemma":0.0000612831,"domain_scores_codex":[0.9973055,0.0000718634,0.001115791,0.00003513991,0.001262162,0.0002095395],"domain_scores_gemma":[0.9967523,0.0004862538,0.0008905549,0.0001819347,0.001622815,0.00006617057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001641261,0.000005801152,0.0001262986,0.0009903703,0.00003098486,4.310154e-8,0.02122634,0.00002667046,1.341583e-7,0.6763187,0.009428532,0.2918297],"study_design_scores_gemma":[0.0002527725,0.00001520795,0.001627634,0.000625741,0.00004558915,0.000008025526,0.01133873,0.000412189,0.00001740328,0.004355025,0.9811878,0.0001138587],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002011155,0.001737797,0.2266762,0.1195844,0.002342508,0.001000652,0.0002728916,0.0003085187,0.6460659],"genre_scores_gemma":[0.6497658,0.1462146,0.01241828,0.1889481,0.0005105201,0.00009420236,0.001785119,0.00001034613,0.0002529405],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9717593,"threshold_uncertainty_score":0.7654864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02881374195605313,"score_gpt":0.3748048384807438,"score_spread":0.3459910965246906,"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."}}