{"id":"W7028450287","doi":"","title":"77 Everett McGill Forever","year":2016,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"History of Computing Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Silver bullet; Performance art","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":[0.0005235376,0.0004966811,0.0002382405,0.0008567761,0.004598314,0.005670623,0.0006055751,0.001953557,0.4852395],"category_scores_gemma":[0.002716398,0.0003282373,0.0001662072,0.0009572775,0.0013501,0.003367485,0.002851269,0.002293449,0.2156976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003415107,"about_ca_system_score_gemma":0.004111823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09064981,"about_ca_topic_score_gemma":0.269897,"domain_scores_codex":[0.9993358,0.00009065897,0.00001498201,0.0001077552,0.000311548,0.0001391479],"domain_scores_gemma":[0.9989629,0.0001339818,0.00003716015,0.0000912184,0.0003625625,0.00041215],"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":[0.000003977378,0.000002743202,0.00003452001,0.00001417924,3.142924e-7,0.00002346925,0.0001463538,0.000003945846,0.00003797364,0.004676327,0.9838584,0.01119787],"study_design_scores_gemma":[3.34873e-7,7.988106e-7,0.00005946376,0.00002015815,1.959028e-7,0.0000114756,0.000110645,0.000002522895,0.00001616216,0.0001612314,0.9996158,0.000001134117],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004055972,0.00578071,0.0002076406,0.02072209,0.003780103,0.00001837658,0.000398891,0.0002747165,0.9684119],"genre_scores_gemma":[0.001305919,0.0006731842,0.0000423474,0.001618247,0.0001545431,0.000004896984,0.00003674399,0.00007460393,0.9960896],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4852395,"threshold_uncertainty_score":0.7342434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006401604914413148,"score_gpt":0.1828150810674231,"score_spread":0.1764134761530099,"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."}}