{"id":"W7020609930","doi":"","title":"Liz McIntyre: Spychips: Tracking Everything, Everywhere","year":2006,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Track (disk drive); Plan (archaeology); Tracking (education); Consumer privacy; Radio-frequency identification","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004085109,0.000634559,0.0002204379,0.001270521,0.003532473,0.003620727,0.0008647953,0.002779835,0.402555],"category_scores_gemma":[0.002007703,0.0003288867,0.0001713771,0.001313026,0.0005378725,0.003086075,0.001623635,0.002104092,0.2528807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001142959,"about_ca_system_score_gemma":0.001165428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03150198,"about_ca_topic_score_gemma":0.06908705,"domain_scores_codex":[0.9995385,0.00004818788,0.00001497473,0.00007729088,0.0002340906,0.0000868568],"domain_scores_gemma":[0.9991556,0.0001255317,0.00004700281,0.0000590269,0.0003066436,0.000306155],"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":[0.000005031035,0.00000567537,0.00008899626,0.0000208361,4.091679e-7,0.00004380572,0.0001174673,0.000004186791,0.00006522149,0.00179676,0.9814185,0.01643308],"study_design_scores_gemma":[8.45858e-7,0.000001817389,0.000157673,0.00001398919,3.535142e-7,0.00004371275,0.00008267195,0.000006352727,0.00006634641,0.00007594534,0.9995479,0.000002347686],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006664507,0.003171269,0.0005822821,0.01955287,0.00205031,0.00006065395,0.0005333729,0.001232122,0.9721506],"genre_scores_gemma":[0.001786473,0.0009026713,0.0001705914,0.00223496,0.0001790279,0.00001341622,0.0001667548,0.0001988832,0.9943473],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.402555,"threshold_uncertainty_score":0.8521829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007754142743408503,"score_gpt":0.1954678571950485,"score_spread":0.18771371445164,"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."}}