{"id":"W7005897472","doi":"","title":"SHORT CUTS #106 - How To Exploit A Massacre","year":2017,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Phytochemistry Medicinal Plant Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pledge; Favourite; Exploit; Narrative; Prime minister; Government (linguistics); Refugee; Prime time","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001289892,0.0002834369,0.0003512028,0.00001410455,0.0001173864,0.00007964918,0.000684013,0.0003251189,0.1496167],"category_scores_gemma":[0.000126028,0.0001442265,0.0001232281,0.000007095637,0.00008475851,2.360985e-7,0.0001205998,0.0001984292,0.008356283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002907888,"about_ca_system_score_gemma":0.000008322543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00188555,"about_ca_topic_score_gemma":0.002834435,"domain_scores_codex":[0.9987906,0.0000214916,0.000261259,0.0002451603,0.0003964642,0.0002850161],"domain_scores_gemma":[0.9990557,0.00008480153,0.000315859,0.0002356283,0.0000953747,0.0002126754],"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":[0.00002363841,0.00002307348,0.000005213313,0.00008162952,0.00002307458,0.000008467553,0.00001551,0.000002077382,0.0001081333,0.000003385586,0.9874298,0.01227602],"study_design_scores_gemma":[0.00007191907,0.00008468368,0.00005591484,0.0002768559,0.00002912108,0.00004566209,0.00007011221,0.000001638282,0.0001008916,0.000004655522,0.9989749,0.0002835967],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004016192,0.0001023632,2.067126e-7,0.001313875,0.0001111257,0.0005020559,0.0006121466,0.0001522896,0.9968043],"genre_scores_gemma":[0.007480151,0.0001102235,0.0002100891,0.000211613,0.0004571346,0.00006407278,0.0008137565,0.000009683136,0.9906433],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1412604,"threshold_uncertainty_score":0.9924158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01256580213967823,"score_gpt":0.1961484676303367,"score_spread":0.1835826654906584,"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."}}