{"id":"W7028325586","doi":"","title":"Ep. 101 - Anne Kingston","year":2015,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Media Studies and Communication","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Information privacy; Work (physics); Privilege (computing)","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":[0.0005495559,0.0001937124,0.0003132423,0.00005293497,0.0001801868,0.00004426029,0.0004914254,0.0003436217,0.3467282],"category_scores_gemma":[0.0003269509,0.0001947864,0.00008729765,0.00001174725,0.000282307,1.636374e-7,0.0001123579,0.0002057932,0.01062276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008396325,"about_ca_system_score_gemma":0.00008795717,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03930276,"about_ca_topic_score_gemma":0.02722163,"domain_scores_codex":[0.9984649,0.0001521325,0.0003901825,0.0001250378,0.0005906145,0.0002771619],"domain_scores_gemma":[0.9986255,0.00009455537,0.0005114846,0.0003757976,0.0002481064,0.0001446255],"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":[0.00001337338,0.00002251445,0.00000143472,0.00007895048,0.00003043575,0.000001933179,0.001807875,0.0000063736,2.217696e-8,0.000269141,0.9955803,0.002187691],"study_design_scores_gemma":[0.0002200144,0.00004913754,0.000001798813,0.0001360288,0.00003098231,0.000002360973,0.001592912,0.00000197297,4.075119e-7,0.00003182729,0.9977279,0.0002047116],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000006743011,0.001629895,7.578058e-8,0.0009962585,0.0004380949,0.0003441125,0.00006868764,0.0001696725,0.9963465],"genre_scores_gemma":[0.0001837408,0.001983087,0.0003758683,0.0002389504,0.0003462396,0.00001653074,0.0001570384,0.00005827883,0.9966403],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3361054,"threshold_uncertainty_score":0.9905291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01344551124343301,"score_gpt":0.2308640284070036,"score_spread":0.2174185171635706,"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."}}