{"id":"W2583823992","doi":"10.1017/9781316681060.007","title":"“Existing in the Hyphen”","year":2017,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Law in Society and Culture","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Internet privacy; Computer science; Content (measure theory); World Wide Web; Computer security","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006953717,0.0006491752,0.0004007667,0.001081278,0.002441097,0.005256864,0.001080707,0.001530399,0.1786062],"category_scores_gemma":[0.002013708,0.0002867313,0.0004966377,0.001308423,0.003798474,0.009558311,0.002780137,0.004515698,0.06078453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001765486,"about_ca_system_score_gemma":0.001414869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0020853,"about_ca_topic_score_gemma":0.00476108,"domain_scores_codex":[0.9992927,0.0002147487,0.00002636369,0.0001161927,0.0002528021,0.00009714189],"domain_scores_gemma":[0.9995877,0.0001213015,0.000019377,0.00009210274,0.0001122101,0.00006726367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001802687,0.00002381842,0.00008132057,0.0001976732,0.000003255234,0.0001148866,0.002359556,0.00003693769,0.0002751653,0.3770287,0.5298742,0.08998651],"study_design_scores_gemma":[0.000001064262,0.000004880585,0.00005942572,0.0001491969,0.000001102271,0.00007252709,0.0003294945,0.0000191776,0.00007364436,0.009424164,0.9898628,0.000002632562],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004668344,0.005338574,0.002246891,0.005246886,0.002623019,0.00002994647,0.0001172364,0.0001899429,0.9837406],"genre_scores_gemma":[0.01241215,0.006010192,0.001917596,0.003397433,0.001255205,0.00005779947,0.0002292414,0.0004004324,0.9743199],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1786062,"threshold_uncertainty_score":0.5974973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05950589482857077,"score_gpt":0.261653883514699,"score_spread":0.2021479886861283,"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."}}