{"id":"W7000857815","doi":"","title":"GORMLEY - DR. SHAWN WHATLEY & KEVIN MARTENS - APRIL 5","year":2021,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"European Socioeconomic and Political Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Politics; Work (physics); Feature (linguistics); Foreclosure","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":[0.000297388,0.0003826285,0.0008649268,0.00008322254,0.00009294898,0.0001056404,0.0003510716,0.0003694803,0.7155188],"category_scores_gemma":[0.0001872315,0.0004429428,0.0003183564,0.000008643849,0.0002181034,3.598248e-7,0.0001914965,0.00031036,0.1026302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009898627,"about_ca_system_score_gemma":0.00001946646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004437316,"about_ca_topic_score_gemma":0.0009146472,"domain_scores_codex":[0.997984,0.00003782535,0.001105607,0.0003481878,0.0000802065,0.0004441626],"domain_scores_gemma":[0.9983618,0.0001092013,0.0008044627,0.0004976469,0.00006652114,0.0001604043],"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":[0.00001000455,0.00003927906,0.00006830972,0.0003506044,0.0001623263,0.000007690265,0.0001456831,0.000009972418,1.332142e-8,0.003861876,0.9950346,0.000309577],"study_design_scores_gemma":[0.0003661734,0.00003719681,0.00006874385,0.0001461133,0.0000224776,0.00001652652,0.00008587004,0.00000451332,3.336052e-7,0.0001964264,0.9985929,0.0004627278],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00005214806,0.006317757,0.000001339847,0.0005669256,0.0005942928,0.0002394442,0.0007815169,0.0001040751,0.9913425],"genre_scores_gemma":[0.000190256,0.002721736,0.0005319975,0.001058202,0.0003991418,0.00001324493,0.000388485,0.0001586075,0.9945383],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6128886,"threshold_uncertainty_score":0.9998022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0192061090932187,"score_gpt":0.1926582686068983,"score_spread":0.1734521595136796,"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."}}