{"id":"W7028352940","doi":"","title":"The Federal Government's COVID-19 Response: Is It Big or Fast Enough?","year":2020,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"China's Global Influence and Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wonder; Government (linguistics); Stimulus (psychology); Government spending; Crisis response; Public policy","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":[0.002118192,0.0007152075,0.0005043658,0.001174867,0.00954995,0.005002904,0.001435359,0.0102019,0.1293192],"category_scores_gemma":[0.007129214,0.0004162125,0.0004685451,0.00144483,0.002101726,0.001772375,0.002666636,0.007416474,0.0327191],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01448593,"about_ca_system_score_gemma":0.04978186,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7914873,"about_ca_topic_score_gemma":0.8735123,"domain_scores_codex":[0.9973457,0.0002216484,0.00005300738,0.0000852678,0.00125038,0.001043991],"domain_scores_gemma":[0.9949706,0.0005596279,0.0001130615,0.0001121694,0.002263191,0.001981417],"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":[0.000004857463,0.000003665375,0.0001157677,0.000009119887,4.44207e-7,0.00001786614,0.00003714771,0.000005463071,0.00001903536,0.0009657439,0.9971059,0.00171487],"study_design_scores_gemma":[0.000007348227,0.000004692454,0.00200732,0.00004570189,0.000001781337,0.00001502918,0.0005405991,0.00003693704,0.00005692452,0.0004285754,0.9968419,0.00001323612],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002779411,0.002720963,0.0001998218,0.6074662,0.02088936,0.0001646845,0.006625307,0.0005291351,0.3586252],"genre_scores_gemma":[0.01347976,0.001374078,0.0002967106,0.1696622,0.001256215,0.0001169949,0.001879862,0.0002311365,0.8117031],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.985514,"threshold_uncertainty_score":0.4326157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01705380857388957,"score_gpt":0.256308294185895,"score_spread":0.2392544856120054,"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."}}