{"id":"W6999536393","doi":"","title":"Craig Silliphant - November 9th","year":2022,"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":"Context (archaeology); Government (linguistics); Front (military); Headline","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":[0.0004395062,0.0007790817,0.0003969563,0.0007506072,0.004194351,0.003685819,0.0008206122,0.001328804,0.7142412],"category_scores_gemma":[0.001265048,0.0003975375,0.0003148915,0.0006062496,0.0005028388,0.001563617,0.002551791,0.002211617,0.536118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001996178,"about_ca_system_score_gemma":0.002397245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04444497,"about_ca_topic_score_gemma":0.2168141,"domain_scores_codex":[0.9995912,0.00002874915,0.000006460387,0.0000693672,0.0001648215,0.0001394658],"domain_scores_gemma":[0.9992031,0.0000251313,0.00001473751,0.00003846932,0.0003575442,0.0003609287],"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":[0.000008975459,0.000004237556,0.00004750087,0.00001566018,4.894645e-7,0.00001763483,0.00002759405,0.000004442208,0.00006259666,0.0002399603,0.9942157,0.005355228],"study_design_scores_gemma":[0.000001218238,0.000003742851,0.0002328173,0.00002694079,5.640415e-7,0.00001221873,0.0001277041,0.000005528886,0.00005683087,0.00006039872,0.9994698,0.000002198801],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007494576,0.001868368,0.0003383267,0.007443446,0.009346253,0.0001104991,0.00229675,0.001413859,0.9764331],"genre_scores_gemma":[0.0006843274,0.0002383591,0.00004548674,0.0005876737,0.00006402306,0.000005908026,0.0002347306,0.00009724506,0.9980422],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2857588,"threshold_uncertainty_score":0.4076002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006766846606072112,"score_gpt":0.190749266255081,"score_spread":0.1839824196490089,"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."}}