{"id":"W6981553601","doi":"","title":"Ep.57 - Buy Gold and Raisin Bran: The Brexit and Canada","year":2016,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Digital Imaging in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Brexit; Context (archaeology); European union; Kingdom","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000145435,0.0002963716,0.0004490787,0.00005156881,0.00003771047,0.00004072353,0.0001474182,0.0001732867,0.06337782],"category_scores_gemma":[0.000231076,0.000190219,0.00004824766,0.000004810356,0.0003999799,2.563458e-7,0.00008734465,0.0002407758,0.0006682012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007111795,"about_ca_system_score_gemma":0.0001672852,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4410931,"about_ca_topic_score_gemma":0.1934638,"domain_scores_codex":[0.9986258,0.0000263746,0.0004325018,0.0001832509,0.0004752602,0.0002568392],"domain_scores_gemma":[0.9989026,0.0001645164,0.0003046821,0.0003439417,0.00009947336,0.0001848195],"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":[0.000063826,0.00001217284,0.00001796285,0.0006693435,0.00007635753,0.00006653718,0.00008910377,8.625435e-7,5.209002e-7,0.0000312837,0.9944002,0.004571807],"study_design_scores_gemma":[0.001302317,0.0001055971,0.00008424817,0.001201967,0.0001058003,0.0009196892,0.0001125896,0.000001960215,0.000005599481,0.00001069049,0.9959499,0.0001996025],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001995342,0.001091378,2.3446e-7,0.004780145,0.0002370023,0.0004916108,0.00009632103,0.00007204421,0.9930317],"genre_scores_gemma":[0.002135164,0.0004600321,0.0001770859,0.002003757,0.0002238235,0.000007724097,0.00005599461,0.0001015746,0.9948348],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2476294,"threshold_uncertainty_score":0.9374784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004313952958198567,"score_gpt":0.1871716255634354,"score_spread":0.1828576726052368,"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."}}