{"id":"W6907873400","doi":"10.25446/oxford.21461739","title":"(401538) Dorothy Alberta Albermarle Cator","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; George (robot)","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":[0.00009640349,0.000334828,0.0005276504,0.000678525,0.0001435793,0.000007730404,0.001029919,0.0002741439,0.2491111],"category_scores_gemma":[0.00002671547,0.0004554826,0.0002746079,0.000400848,0.0002445848,0.00008346708,0.0006551387,0.0003338837,0.002902038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003842051,"about_ca_system_score_gemma":0.0001998435,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03567221,"about_ca_topic_score_gemma":0.03266447,"domain_scores_codex":[0.9984525,0.0001027543,0.0001275496,0.0004931791,0.0004632243,0.0003607743],"domain_scores_gemma":[0.9984502,0.00006966427,0.0004486122,0.0008330356,0.00003427381,0.0001642599],"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":[0.00007736827,0.0001072653,0.001954606,0.00007434915,0.0002732215,0.00006026367,0.0005206821,0.000005534323,0.00002700079,0.0007852195,0.9958894,0.0002251508],"study_design_scores_gemma":[0.0009412682,0.00006080388,0.0001758399,0.00004347902,0.0001865523,0.00000677377,0.000833393,0.00001001375,0.000007343573,0.00001544905,0.9972823,0.0004367734],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004538675,0.0002016718,0.00001275727,0.0001032929,0.0003142231,0.0004153807,0.001085044,0.000228179,0.9971856],"genre_scores_gemma":[0.0004264665,0.0001107745,0.0005712581,0.00004727588,0.0000766507,3.866997e-7,0.0005067947,0.0007120561,0.9975483],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2462091,"threshold_uncertainty_score":0.9997897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007108274766167021,"score_gpt":0.183011794218808,"score_spread":0.175903519452641,"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."}}