{"id":"W4230058629","doi":"10.1017/9781107414952.001","title":"Preface and Acknowledgments","year":2018,"lang":"en","type":"other","venue":"","topic":"International Law and Human Rights","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Content (measure theory); Computer science; World Wide Web; Information retrieval; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002168336,0.0007975765,0.0004881781,0.003423036,0.002032779,0.002829088,0.001104478,0.0009896349,0.255853],"category_scores_gemma":[0.02075044,0.0002651264,0.000375897,0.002279457,0.0005871452,0.00228945,0.00153257,0.003302419,0.1696262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002148098,"about_ca_system_score_gemma":0.00191826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005138283,"about_ca_topic_score_gemma":0.004473147,"domain_scores_codex":[0.9988249,0.000211764,0.0001087376,0.0001652923,0.0006065153,0.00008273578],"domain_scores_gemma":[0.9893338,0.001939569,0.0004296164,0.0006221522,0.006796485,0.0008783398],"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":[0.00001296932,0.000007321612,0.00004870684,0.0001073267,9.642337e-7,0.00002638218,0.00008670786,0.00003260251,0.00006589193,0.004069368,0.9820006,0.01354101],"study_design_scores_gemma":[0.000002850366,0.000008141213,0.0002873944,0.0002042338,0.000001526046,0.00003906829,0.00008829845,0.00002027217,0.00005898977,0.002361565,0.996922,0.000005711705],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001832784,0.01553068,0.01471961,0.06883144,0.3019668,0.001234045,0.03671257,0.00285457,0.5563175],"genre_scores_gemma":[0.01007876,0.01127133,0.006096829,0.01209635,0.04991504,0.0008875306,0.02384263,0.001947884,0.8838636],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7441469,"threshold_uncertainty_score":0.8559136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01581328700523749,"score_gpt":0.3235741713662004,"score_spread":0.3077608843609629,"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."}}