{"id":"W1041648032","doi":"","title":"Rights, not Gifts, for Trusted Intermediaries","year":2012,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Media, Communication, and Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Intermediary; Business; Computer security; Internet privacy; Computer science; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001074401,0.0002012451,0.0002382345,0.0003256661,0.001241686,0.0002398163,0.00103936,0.0002496143,0.00009888425],"category_scores_gemma":[0.0002984539,0.000222727,0.0001287668,0.000421733,0.0005458822,0.002751207,0.0001461639,0.0003161893,0.0002036534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003652845,"about_ca_system_score_gemma":0.0002684869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007158038,"about_ca_topic_score_gemma":0.009851523,"domain_scores_codex":[0.9978865,0.0005318532,0.0002351166,0.0002851538,0.0003766645,0.0006847605],"domain_scores_gemma":[0.9980246,0.0004835246,0.0002014587,0.0005559189,0.0002583886,0.000476092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000827039,0.0001487064,0.9511507,0.0000304585,0.00004129383,0.00000161243,0.03745437,4.506577e-7,0.00007362814,0.009817907,0.00003085372,0.001167387],"study_design_scores_gemma":[0.0008666845,0.00006034851,0.6555567,0.00009928221,0.0001250597,0.000002867509,0.01061644,1.68414e-7,0.001463699,0.001107026,0.3296262,0.0004755348],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927267,0.0001450105,0.001394079,0.0014083,0.001767284,0.000495047,0.0000234851,0.0001886378,0.001851426],"genre_scores_gemma":[0.9843414,0.0001455376,0.0002221898,0.0003274826,0.0008081,0.000007482075,0.00007440344,0.00002229156,0.01405108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3295953,"threshold_uncertainty_score":0.955017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1855806729594069,"score_gpt":0.3883799351882691,"score_spread":0.2027992622288622,"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."}}