{"id":"W6945481628","doi":"10.25446/oxford.21465630","title":"(3854) Margaret McGill Holmes","year":2022,"lang":"en","type":"other","venue":"University of Oxford","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Economic and Social Research Council","keywords":"Mores; Census; Social research; Research council","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":[0.0000917971,0.0002361421,0.0003888323,0.0006212555,0.0001482214,0.000003063519,0.0007475468,0.0002011762,0.188047],"category_scores_gemma":[0.00001319232,0.0003239283,0.0001979331,0.0002966592,0.0001810899,0.00005116633,0.0005307856,0.0002713384,0.001169008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002732928,"about_ca_system_score_gemma":0.00005756598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001508213,"about_ca_topic_score_gemma":0.001290335,"domain_scores_codex":[0.9988394,0.00008011539,0.00008052204,0.0003609806,0.0003906361,0.0002483185],"domain_scores_gemma":[0.9989911,0.00002283304,0.0003194864,0.0005474413,0.00003001448,0.00008914211],"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":[0.00005246006,0.00006202335,0.0005780875,0.00005887678,0.0001847735,0.0001621654,0.00006907628,0.000003214564,0.00001797545,0.001582456,0.9965933,0.0006356156],"study_design_scores_gemma":[0.0006196976,0.00005816835,0.0003436531,0.00004075191,0.000128217,0.000005874536,0.0007867058,0.000004065431,0.000004580049,0.00003828651,0.9976605,0.0003094918],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002356913,0.0001308751,0.000007409652,0.00006263165,0.0001545987,0.0002295956,0.006331037,0.0004223554,0.9924258],"genre_scores_gemma":[0.0006832164,0.0002185833,0.0009642311,0.0000346965,0.00003577576,1.11013e-7,0.0004305343,0.0005587516,0.9970741],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.186878,"threshold_uncertainty_score":0.9999213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01247136429301772,"score_gpt":0.1916301645438549,"score_spread":0.1791588002508372,"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."}}