{"id":"W7051844386","doi":"","title":"Peanut Butter &amp; Bullshit Episode #99 - Do You Know What They Call a Mayor McCheese in Toronto?","year":2013,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Peanut butter; Gallon (US); Context (archaeology); State (computer science)","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":["insufficient_payload"],"category_scores_codex":[0.0006414427,0.0009093384,0.000529339,0.001032211,0.005562595,0.004268785,0.001065445,0.002322288,0.7286942],"category_scores_gemma":[0.001983553,0.0006279417,0.0004780379,0.0009065619,0.0008867249,0.001773077,0.002105082,0.002419555,0.4709148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008535336,"about_ca_system_score_gemma":0.01029372,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.283179,"about_ca_topic_score_gemma":0.7189853,"domain_scores_codex":[0.9990722,0.00002740056,0.00001474663,0.00007204972,0.0005322191,0.0002812627],"domain_scores_gemma":[0.9978653,0.00006180064,0.00007334305,0.00006717179,0.0008049633,0.001127418],"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":[0.00001130671,0.000007470174,0.000103005,0.00001451566,5.857083e-7,0.00003665157,0.0000207684,0.000007206737,0.0000907875,0.0002053932,0.9937406,0.005761561],"study_design_scores_gemma":[0.000004019716,0.00001134171,0.00119461,0.00002326941,0.000001496436,0.00002356933,0.0001829187,0.00001535953,0.0001251871,0.00008646343,0.998327,0.000004851128],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001196276,0.001082914,0.0001823498,0.01361741,0.003190063,0.000136519,0.003505756,0.0009982394,0.9760904],"genre_scores_gemma":[0.0008294054,0.0002542261,0.00006123471,0.0005639977,0.0001067222,0.000006922876,0.0003836729,0.0001228846,0.9976709],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.716821,"threshold_uncertainty_score":0.5630614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005530641386268491,"score_gpt":0.2081481775545135,"score_spread":0.202617536168245,"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."}}