{"id":"W6997321074","doi":"","title":"Was this Premier Ford's gameplan all along?","year":2022,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Plan (archaeology); Job loss; Orientation (vector space)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002514171,0.0003601338,0.0003623883,0.000143446,0.0001389193,0.00007524648,0.0005657385,0.0003092676,0.8482318],"category_scores_gemma":[0.0004037874,0.000370492,0.0001929748,0.00002018041,0.0001531449,3.687605e-7,0.0001448508,0.0005018712,0.01969653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001448886,"about_ca_system_score_gemma":0.0000410668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001556192,"about_ca_topic_score_gemma":0.0005650163,"domain_scores_codex":[0.997685,0.0001983286,0.0006553563,0.0003944239,0.0007099856,0.0003569135],"domain_scores_gemma":[0.9982102,0.0001961686,0.0007968774,0.0006033484,0.0000532065,0.0001402],"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":[0.00006839616,0.00005549596,0.000001521817,0.0001779734,0.00001852235,0.00001795769,0.0001792228,0.00003856973,0.00002093147,0.000117174,0.9974146,0.0018896],"study_design_scores_gemma":[0.000454447,0.0001398198,0.00000543245,0.00004928914,0.00003653916,0.0001955015,0.00009042181,0.00004679215,0.0003058877,0.00001460253,0.9982823,0.0003789506],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00005793529,0.00007370945,4.795009e-7,0.0003915824,0.0006391758,0.0006119348,0.0002213995,0.0004480996,0.9975557],"genre_scores_gemma":[0.002184654,0.0001935188,0.0001622103,0.001957748,0.0001440202,0.00007315358,0.0001605445,0.0001746408,0.9949495],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8285353,"threshold_uncertainty_score":0.9998747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01324028119434273,"score_gpt":0.2052696782441792,"score_spread":0.1920293970498365,"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."}}