{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001384253,0.0006586253,0.0004129691,0.000884279,0.006894325,0.004943555,0.001172638,0.003469843,0.1717685],"category_scores_gemma":[0.00954949,0.0004018475,0.0003098554,0.0007513794,0.001512269,0.002333759,0.001711503,0.00508958,0.05515089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008309293,"about_ca_system_score_gemma":0.01684554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4331649,"about_ca_topic_score_gemma":0.6564858,"domain_scores_codex":[0.9984412,0.0001625212,0.00003948242,0.0002098695,0.0007585654,0.0003884531],"domain_scores_gemma":[0.9933196,0.000420629,0.0001289388,0.000127573,0.003295913,0.002707354],"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":[0.000002140495,0.000002357913,0.00009885245,0.000006960669,3.246046e-7,0.00001395496,0.00003390746,0.000002420335,0.000009172122,0.000141544,0.9959852,0.003703197],"study_design_scores_gemma":[0.000002383655,0.000003914078,0.0005141121,0.00005998617,0.000001197163,0.00005948718,0.0004967795,0.00000954998,0.00002270792,0.0001052301,0.9987191,0.000005539061],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.00123422,0.01731348,0.0003795229,0.6832534,0.0640819,0.00009396786,0.00085995,0.0006796911,0.2321039],"genre_scores_gemma":[0.006562892,0.00755576,0.0002468673,0.1217851,0.003860371,0.00004148869,0.0003779054,0.0002506286,0.859319],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4331649,"threshold_uncertainty_score":0.8612872,"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."}}