{"id":"W7023867778","doi":"","title":"Piffles Podcast Episode 168 - 3 and OH NO YOU DIDNT","year":2021,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wonder; League; Zoom; Conjunction (astronomy); Representation (politics)","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":[0.0008950607,0.0007446383,0.0004642,0.0008467658,0.003390189,0.006031324,0.0009439667,0.002243809,0.6234779],"category_scores_gemma":[0.003270992,0.0003132949,0.0003923171,0.0005585082,0.000505027,0.002552202,0.002708925,0.003365941,0.3586014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001657416,"about_ca_system_score_gemma":0.001292058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02334638,"about_ca_topic_score_gemma":0.113837,"domain_scores_codex":[0.9996071,0.00004255957,0.000009769609,0.0000447248,0.0001917958,0.0001039364],"domain_scores_gemma":[0.9988804,0.000114503,0.0000274313,0.00009588216,0.0003938328,0.000488001],"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":[0.00002056516,0.000007661274,0.00003601276,0.0000112749,7.265251e-7,0.00001958012,0.00001797307,0.00002041162,0.00003428607,0.001288705,0.9930822,0.005460662],"study_design_scores_gemma":[0.000004455255,0.000005553857,0.0001220433,0.0000152869,6.037213e-7,0.00001069711,0.00004333216,0.00006167682,0.00005395094,0.0004528904,0.999227,0.000002464441],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006402359,0.0005316616,0.001593028,0.00692374,0.008572266,0.0001211849,0.00576263,0.002450613,0.9734047],"genre_scores_gemma":[0.003102263,0.0001558794,0.0003490624,0.0007078802,0.0006259138,0.00003057061,0.002107964,0.0007438796,0.9921765],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6234779,"threshold_uncertainty_score":0.5370631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005906373380097673,"score_gpt":0.1773298445577126,"score_spread":0.1714234711776149,"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."}}