{"id":"W7052538752","doi":"","title":"ROTTING FROM THE TOP","year":2009,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); CLIPS; Quality (philosophy); Credit card","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":[0.000848101,0.0007846988,0.0004706314,0.0009426304,0.009076635,0.008035943,0.0006640301,0.002820414,0.5990548],"category_scores_gemma":[0.004943182,0.0004251595,0.0003783996,0.001010684,0.001111174,0.006829768,0.004239914,0.004038503,0.4312456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001692734,"about_ca_system_score_gemma":0.003089482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01720208,"about_ca_topic_score_gemma":0.05526249,"domain_scores_codex":[0.9988829,0.0001326194,0.00002737479,0.0001566606,0.0004154909,0.0003849811],"domain_scores_gemma":[0.9978442,0.00016551,0.00007837876,0.0001223024,0.0007753694,0.001014231],"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":[0.000004264778,0.000005792237,0.00006818383,0.000007840305,3.255064e-7,0.00002204613,0.0002280613,0.000002121716,0.00003235451,0.0009017388,0.9910496,0.007677616],"study_design_scores_gemma":[0.000001411178,0.000003639863,0.0002028928,0.00002202441,5.960836e-7,0.00002364637,0.001257436,0.000005337129,0.00003081281,0.0001861219,0.9982628,0.000003261019],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001600954,0.001068395,0.00035964,0.03214681,0.008954185,0.00005908426,0.001019198,0.0007173253,0.9540744],"genre_scores_gemma":[0.003293609,0.0004218845,0.00009384554,0.009020207,0.0004632638,0.00001974897,0.0002394888,0.0003119153,0.986136],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5990548,"threshold_uncertainty_score":0.5718997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003875344340916844,"score_gpt":0.1618206773028671,"score_spread":0.1579453329619502,"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."}}