{"id":"W7065801319","doi":"","title":"A fake nurse's long history of impersonation","year":2021,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); False accusation; Work (physics); Social history (medicine)","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":[0.003455712,0.000702162,0.0005499801,0.001490811,0.013383,0.007812388,0.001218141,0.007252626,0.04594484],"category_scores_gemma":[0.02630907,0.0007188877,0.0002901888,0.001295175,0.006577556,0.01134093,0.005255886,0.01045009,0.01868694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004870631,"about_ca_system_score_gemma":0.002899409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01720081,"about_ca_topic_score_gemma":0.02480166,"domain_scores_codex":[0.9932052,0.002706852,0.0002538822,0.0006033306,0.002418121,0.0008127447],"domain_scores_gemma":[0.9846749,0.006686695,0.001263628,0.002097061,0.003569757,0.001708006],"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":[0.00003075055,0.00002637361,0.0007954089,0.0001138161,0.000007431472,0.0008360315,0.01174531,0.00003468649,0.0001743043,0.02573687,0.9048365,0.05566255],"study_design_scores_gemma":[0.000001629338,0.00001201891,0.000347735,0.0001839926,0.000002561434,0.00130648,0.004151301,0.00003582025,0.0001164525,0.001251977,0.9925734,0.00001660551],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0134552,0.02310515,0.002426918,0.3253691,0.01513844,0.00005001596,0.000369649,0.0006822417,0.6194032],"genre_scores_gemma":[0.1759325,0.01539302,0.001447231,0.1823714,0.005698692,0.00007192762,0.0002684093,0.0007507214,0.618066],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04594484,"threshold_uncertainty_score":0.1537008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006309741180791969,"score_gpt":0.1827897520751109,"score_spread":0.1764800108943189,"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."}}