{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0112923,0.0002923434,0.0005559024,0.003344277,0.003339045,0.0119767,0.0007465709,0.004284897,0.005277628],"category_scores_gemma":[0.02269168,0.000167954,0.0003349903,0.004278854,0.02222202,0.01506268,0.004954864,0.002549634,0.000465863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003508198,"about_ca_system_score_gemma":0.004974458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001957684,"about_ca_topic_score_gemma":0.001999382,"domain_scores_codex":[0.9856651,0.008517964,0.0005236337,0.000958234,0.003296442,0.001038689],"domain_scores_gemma":[0.9707713,0.02145614,0.003130424,0.00146147,0.002086169,0.001094482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001824953,0.00001885827,0.001208467,0.0001384087,0.00001218317,0.00007204914,0.002377355,0.0002537683,0.00006725782,0.9616101,0.005172208,0.02905095],"study_design_scores_gemma":[0.00001107256,0.00003297476,0.002193419,0.0005637237,0.00001160822,0.000164538,0.004020249,0.000294891,0.0001313264,0.9040598,0.08850154,0.00001484422],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06884407,0.1141017,0.02169384,0.2282356,0.001963587,0.00008887395,0.0001399285,0.00007117717,0.5648613],"genre_scores_gemma":[0.9304672,0.03558709,0.002610073,0.01545819,0.002745128,0.00008641797,0.00005903031,0.00004319397,0.01294362],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0119767,"threshold_uncertainty_score":0.05972016,"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."}}