{"id":"W7001989452","doi":"","title":"(MIAC #205) When There Are Food Riots in Cities, Are Governments Ready?","year":2019,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unrest; Famine; Timeline; Food prices; Climate change; Crunch; Agriculture; Boom; Food processing","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002803411,0.00055587,0.0003078158,0.0006202428,0.003364247,0.002724952,0.0006350662,0.002191824,0.6802529],"category_scores_gemma":[0.002001258,0.0002709122,0.0003226579,0.0007475894,0.0003353357,0.002999148,0.002542262,0.001605331,0.4644767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0011459,"about_ca_system_score_gemma":0.00130898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02193741,"about_ca_topic_score_gemma":0.09293376,"domain_scores_codex":[0.9997752,0.00002172143,0.000007385654,0.00002920531,0.00008382881,0.00008265897],"domain_scores_gemma":[0.9988524,0.00006783885,0.00004400987,0.00004910705,0.0003987953,0.0005878535],"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":[0.000003062235,0.000002438897,0.00005643095,0.00001009905,1.869629e-7,0.0000158441,0.00004007878,0.000001632469,0.00002058562,0.0001307855,0.9958296,0.003889211],"study_design_scores_gemma":[0.000002755233,0.000006264936,0.0006396624,0.00002922606,6.132079e-7,0.00002989247,0.0003669948,0.00001184178,0.00003427829,0.00008972775,0.9987848,0.000004071287],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002101209,0.001160216,0.000419618,0.03364842,0.01793549,0.0002331967,0.01063961,0.003058227,0.930804],"genre_scores_gemma":[0.003267047,0.0005194016,0.0002467391,0.008510228,0.001506193,0.000100654,0.00268593,0.0006186547,0.9825451],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6802529,"threshold_uncertainty_score":0.4560805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008991743119616728,"score_gpt":0.1841278925465613,"score_spread":0.1751361494269446,"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."}}