{"id":"W6990253288","doi":"","title":"Craig Silliphant - October 25th","year":2023,"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); Headline; Front (military)","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":[0.000442585,0.0007887249,0.0003949887,0.0007564746,0.004129612,0.003763962,0.0008223805,0.001337027,0.6921294],"category_scores_gemma":[0.001256572,0.0003857194,0.0003223572,0.0006140209,0.0004912658,0.001617537,0.002507366,0.002193865,0.5107942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002026428,"about_ca_system_score_gemma":0.002560164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04718016,"about_ca_topic_score_gemma":0.2274711,"domain_scores_codex":[0.9996036,0.00002673428,0.000006298466,0.00006362482,0.0001645882,0.0001351561],"domain_scores_gemma":[0.9991682,0.00002547743,0.00001489229,0.00003775071,0.0003780629,0.0003757062],"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":[0.000008621163,0.000004409348,0.00004421469,0.00001519056,4.973325e-7,0.00001599627,0.00002385186,0.000004534969,0.00005985238,0.0002247569,0.9945006,0.005097449],"study_design_scores_gemma":[0.000001346807,0.000003982454,0.0002485254,0.00002716379,6.125666e-7,0.00001111428,0.0001307098,0.000005709403,0.00005588632,0.00006697608,0.9994457,0.000002209196],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007808479,0.002005464,0.000324974,0.007695674,0.01056407,0.0001215012,0.002268022,0.0013656,0.9748738],"genre_scores_gemma":[0.0006449448,0.0002411138,0.0000412645,0.0005828656,0.00007062477,0.000006300705,0.0002308832,0.00009050671,0.9980914],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3078706,"threshold_uncertainty_score":0.43914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008366910823450502,"score_gpt":0.2000331578394288,"score_spread":0.1916662470159783,"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."}}