{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006922931,0.00005317086,0.00006068169,0.00002992732,0.00006057963,0.000201619,0.0003867657,0.00002726132,0.00001535313],"category_scores_gemma":[0.00004300611,0.00003134403,0.00002448911,0.0001484084,0.00002109281,0.0001717877,0.0001009612,0.0001849547,0.000005326021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003354754,"about_ca_system_score_gemma":0.000004927856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002512783,"about_ca_topic_score_gemma":0.001225708,"domain_scores_codex":[0.9994411,0.0000470668,0.0001269215,0.0001527706,0.0001005008,0.0001316751],"domain_scores_gemma":[0.9997028,0.000122383,0.00003275101,0.0001089326,0.00001763122,0.0000155133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[5.372478e-7,0.00001034844,0.0008579149,0.000001673723,0.000002686449,0.000002560057,0.005082955,0.0003226152,0.00004030536,0.9704648,0.0005443108,0.02266933],"study_design_scores_gemma":[0.00003917653,0.00001104707,0.0030054,0.00001029007,0.000002230272,0.000007646784,0.0003100678,0.9955331,0.00001188188,0.0003320892,0.0006851114,0.00005194372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3011068,0.00002216074,0.6857898,0.001772344,0.0002416947,0.00004985812,3.753378e-8,0.00003468035,0.01098265],"genre_scores_gemma":[0.99029,0.000001282781,0.008909333,0.0006221308,0.00008318446,0.000002521159,4.420533e-7,0.000001819227,0.00008931774],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9952105,"threshold_uncertainty_score":0.1944217,"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."}}