{"id":"W4247830178","doi":"10.13051/ee:bio/savilgeorg003105","title":"George Savile, 1st marquess of Halifax [savilgeorg003105]","year":2017,"lang":"en","type":"dataset","venue":"Electronic Enlightenment Biographical Dictionary","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"George (robot); Geology; Art; Art history","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":[0.000621047,0.001794082,0.00123323,0.004742426,0.001166972,0.002447122,0.001527723,0.001731199,0.05395598],"category_scores_gemma":[0.004522883,0.000426356,0.0007623651,0.00602032,0.0004735529,0.00132665,0.001945809,0.001340018,0.07672137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001376745,"about_ca_system_score_gemma":0.003373014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08140112,"about_ca_topic_score_gemma":0.1761149,"domain_scores_codex":[0.9993955,0.0001060712,0.0000774843,0.0001403426,0.0001494886,0.0001311436],"domain_scores_gemma":[0.9984379,0.0003359756,0.0001615377,0.0002443054,0.0005599562,0.0002602409],"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":[0.00003589705,0.000007932405,0.0006134846,0.00022472,0.000006763878,0.00002045754,0.00003049043,0.00007803086,0.00003874858,0.0001304384,0.9969875,0.001825471],"study_design_scores_gemma":[0.0001188636,0.000009556216,0.004588682,0.0002857257,0.00001408073,0.00005363806,0.0002334687,0.0002864927,0.0001492881,0.0003385727,0.9939042,0.0000174747],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004127348,0.0001584287,0.00004374317,0.0001309978,0.00007402319,0.00001330494,0.997754,0.0002028062,0.001209896],"genre_scores_gemma":[0.0005306209,0.0001024528,0.0001418528,0.00004728897,0.00001500223,0.00004154831,0.9976757,0.00004247863,0.001402976],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08140112,"threshold_uncertainty_score":0.1805007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009756702967975405,"score_gpt":0.2997540753417232,"score_spread":0.2899973723737477,"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."}}