{"id":"W7045681403","doi":"","title":"Artificial intelligence and government","year":2019,"lang":"en","type":"other","venue":"Oxford University Research Archive (ORA) (University of Oxford)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Liquation; Diafiltration; Emperipolesis; Triacetin; Demotion","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":[0.002150289,0.0004679706,0.0005895492,0.001393533,0.003743231,0.01371628,0.0008164043,0.005550225,0.05841098],"category_scores_gemma":[0.006169767,0.0002589463,0.000353561,0.003683687,0.009136437,0.005752586,0.003654129,0.004540741,0.0137468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009489253,"about_ca_system_score_gemma":0.008731757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01422334,"about_ca_topic_score_gemma":0.01156266,"domain_scores_codex":[0.9962128,0.001488331,0.0001398458,0.000403612,0.00117483,0.0005804645],"domain_scores_gemma":[0.9980053,0.0008028456,0.000133928,0.0003564035,0.0003974687,0.000303942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000009794589,0.00001024076,0.0001254371,0.00009385018,0.00000454461,0.00002547826,0.0002814138,0.000160863,0.00002264435,0.8575911,0.1155682,0.02610652],"study_design_scores_gemma":[0.00000518456,0.00000512111,0.0002530315,0.0002323032,0.000002266094,0.00003052502,0.0002219252,0.00006545881,0.00002480303,0.1787964,0.8203582,0.000004813444],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00089411,0.02895139,0.0009226113,0.05579118,0.00144412,0.00002443151,0.0001886746,0.0001047285,0.9116788],"genre_scores_gemma":[0.2020045,0.08478245,0.003426762,0.03296592,0.004252272,0.0002439655,0.0007098564,0.0003612895,0.671253],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05841098,"threshold_uncertainty_score":0.1954042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04301595522157974,"score_gpt":0.2678747701155074,"score_spread":0.2248588148939276,"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."}}