{"id":"W6984238057","doi":"","title":"Artchatpodcast 097","year":2013,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"The Internet; Government (linguistics); Espionage; Subpoena; Presumption; Subject (documents); Happening; Legal aspects of computing; Enforcement","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":["insufficient_payload"],"category_scores_codex":[0.0007934682,0.0007195463,0.0008203987,0.001679486,0.002829358,0.006884932,0.001232761,0.001410797,0.7793868],"category_scores_gemma":[0.003333271,0.0004092841,0.0005499127,0.002386453,0.0004925831,0.002472397,0.002682127,0.00217452,0.6236519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001370498,"about_ca_system_score_gemma":0.001747475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009480459,"about_ca_topic_score_gemma":0.01930822,"domain_scores_codex":[0.9992514,0.00006871972,0.00003796544,0.00009783085,0.0003801843,0.0001638265],"domain_scores_gemma":[0.9982631,0.0001842997,0.00006457938,0.0002282718,0.0008284549,0.0004312539],"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":[0.00007031688,0.00001370847,0.00008906349,0.00006801989,0.000001913338,0.00003185867,0.00003935424,0.00002392055,0.0001372577,0.0006552447,0.9825974,0.016272],"study_design_scores_gemma":[0.00001062836,0.000009319407,0.0003682719,0.00005927056,0.000001291484,0.00001687959,0.00007509835,0.00004218279,0.00009012051,0.0001258677,0.9991961,0.000004923085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001015914,0.0007545371,0.0008123426,0.002516316,0.01235798,0.0002565733,0.02968037,0.003146001,0.94946],"genre_scores_gemma":[0.003133873,0.0003775485,0.0003355408,0.0006727942,0.0009721042,0.00012545,0.0111837,0.001074699,0.9821244],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2206132,"threshold_uncertainty_score":0.3146779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01196407874734459,"score_gpt":0.1608708810984724,"score_spread":0.1489068023511278,"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."}}