{"id":"W1987967913","doi":"10.1109/icds.2010.53","title":"Interpreting Network Discrimination in the CRTC and FCC","year":2010,"lang":"en","type":"article","venue":"","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Luonnontieteiden ja Tekniikan Tutkimuksen Toimikunta; Natural Sciences and Engineering Research Council of Canada","keywords":"Oligopoly; Law and economics; The Internet; Political science; Computer science; Economics; Public relations; Law; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02187572,0.0003270597,0.000933003,0.003008856,0.009034578,0.01327233,0.00224079,0.008797481,0.003961183],"category_scores_gemma":[0.07549259,0.0003539356,0.0005604936,0.005052586,0.01999626,0.005617154,0.003829503,0.007844495,0.0002852138],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0362485,"about_ca_system_score_gemma":0.01884902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4618847,"about_ca_topic_score_gemma":0.4256773,"domain_scores_codex":[0.9761341,0.008830704,0.0005888093,0.001774518,0.008107102,0.00456488],"domain_scores_gemma":[0.9590983,0.02745545,0.002100784,0.00241214,0.008023117,0.0009101792],"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":[0.00003168979,0.000008759563,0.001663677,0.00002446246,0.000006951313,0.0001263769,0.003712947,0.0009004439,0.00008127842,0.9814838,0.006501483,0.005458163],"study_design_scores_gemma":[0.00006079754,0.00004397987,0.009209311,0.0006587437,0.00008607926,0.0001527308,0.02181126,0.009440372,0.001338636,0.8021765,0.1548876,0.0001340584],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1955225,0.003972352,0.01632249,0.1087905,0.0009923736,0.00009937704,0.0004788197,0.00004249604,0.6737791],"genre_scores_gemma":[0.9818723,0.0005655995,0.002053502,0.008250107,0.0003009134,0.00005624421,0.00004434727,0.00003012819,0.006826888],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9637515,"threshold_uncertainty_score":0.9183925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007575515540412802,"score_gpt":0.2340403584396788,"score_spread":0.226464842899266,"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."}}