{"id":"W7029601407","doi":"","title":"Know Your Rights at the Border","year":2010,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Ancient Mediterranean Archaeology and History","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Anticipation (artificial intelligence); Government (linguistics); Human rights; Ridiculous","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001708918,0.0002658656,0.0002828859,0.00006756393,0.0003968092,0.00002744142,0.0003627299,0.0003080429,0.9497102],"category_scores_gemma":[0.00003018298,0.0001849657,0.0001489292,0.000001604233,0.00138455,1.636159e-7,0.0001110182,0.0004599243,0.0495123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003003614,"about_ca_system_score_gemma":0.00002303678,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005076885,"about_ca_topic_score_gemma":0.09563027,"domain_scores_codex":[0.9988651,0.0000534616,0.0003743374,0.0001561947,0.0002918541,0.0002590244],"domain_scores_gemma":[0.998941,0.00007858278,0.000419609,0.0003844094,0.0001028576,0.0000735197],"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":[0.00003716931,0.00002186581,3.504126e-7,0.0001110265,0.00004410086,0.000008624522,0.006459773,0.000002377822,4.955164e-8,0.00132492,0.9910851,0.0009047118],"study_design_scores_gemma":[0.0002516597,0.00005758534,0.000001384172,0.00007852734,0.00005067878,0.00002858193,0.0001989797,0.000001871804,0.000001071533,0.00003151426,0.9990686,0.0002296125],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003273915,0.001174263,5.576931e-8,0.0003497917,0.002052906,0.0002838094,0.0001597363,0.0001307999,0.9958159],"genre_scores_gemma":[0.0001423928,0.0001201616,0.00005178698,0.0006057083,0.001014001,0.00001511687,0.0001893596,0.00007307575,0.9977884],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9001979,"threshold_uncertainty_score":0.9512278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008782172574163865,"score_gpt":0.1896865620751,"score_spread":0.1809043895009362,"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."}}