{"id":"W7030331625","doi":"","title":"New World Next Week: Episode218 - Police Waze, Syriza Rising, Allergy Good News","year":2015,"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":"Austerity; Power (physics); Monarchy; Impunity; Government (linguistics); State (computer science); Siege; Amnesty; Indictment","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":[0.0005375781,0.001206355,0.0006508336,0.0008308114,0.004220583,0.006928877,0.0009554432,0.005053977,0.6580806],"category_scores_gemma":[0.003056234,0.0006129169,0.0005924614,0.001154679,0.0004929796,0.003921475,0.003717478,0.004603114,0.4711433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001570814,"about_ca_system_score_gemma":0.0016072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01058381,"about_ca_topic_score_gemma":0.03910954,"domain_scores_codex":[0.9993419,0.00004855988,0.00002483538,0.00006410173,0.0003097392,0.0002108677],"domain_scores_gemma":[0.998313,0.0001519994,0.0001099198,0.0001383002,0.0005746565,0.0007120729],"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":[0.0000103774,0.00001011893,0.00003602453,0.00001969328,7.323649e-7,0.00003663157,0.00002337711,0.000003230267,0.00003608016,0.0001004195,0.9967471,0.002976184],"study_design_scores_gemma":[0.000007108458,0.00001019605,0.0003411622,0.00003373495,0.000001232625,0.0000337281,0.0001422306,0.000009392064,0.00004149217,0.00004940793,0.999326,0.000004320228],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001544814,0.002955493,0.000288361,0.02476197,0.02692786,0.0003531884,0.007126756,0.001999754,0.9340417],"genre_scores_gemma":[0.002388978,0.0009999508,0.0001095606,0.007263147,0.003252312,0.0001052304,0.002009689,0.0005485137,0.9833227],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6580806,"threshold_uncertainty_score":0.4877064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01312171919260805,"score_gpt":0.2102310618844702,"score_spread":0.1971093426918621,"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."}}