{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007807818,0.0009222277,0.0006895593,0.001333618,0.002574661,0.005095917,0.001335273,0.004297129,0.6017622],"category_scores_gemma":[0.004530231,0.0007018363,0.0004421148,0.001885919,0.001069331,0.003628363,0.002431721,0.003151165,0.577754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002786588,"about_ca_system_score_gemma":0.00383975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04050827,"about_ca_topic_score_gemma":0.08502185,"domain_scores_codex":[0.999121,0.00009266628,0.00006296894,0.0001738764,0.0004604045,0.00008900733],"domain_scores_gemma":[0.9983248,0.0004145188,0.0000854793,0.000176064,0.0008143128,0.0001848342],"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":[0.00000685691,0.000005482861,0.00003962079,0.00006860682,0.000001024731,0.00002789554,0.00006935664,0.00001963512,0.00005504743,0.006458538,0.9657617,0.02748629],"study_design_scores_gemma":[0.000001225047,0.000001481463,0.0001111343,0.00008255759,4.210549e-7,0.00002318457,0.00003725796,0.00000534726,0.00001565623,0.0004822275,0.9992378,0.000001773979],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001497566,0.01172785,0.0004889321,0.008910521,0.003788448,0.00007489333,0.002696664,0.0004786036,0.9716843],"genre_scores_gemma":[0.0005739809,0.002166995,0.0001457531,0.001961203,0.0002103244,0.00003850476,0.0003636121,0.0001565845,0.9943831],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6017622,"threshold_uncertainty_score":0.5680378,"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."}}