{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001834739,0.0003478799,0.0004549375,0.00006700133,0.00009160432,0.0001984672,0.0005048526,0.0002706506,0.1220469],"category_scores_gemma":[0.0001225928,0.0003281462,0.0001353482,0.0000128863,0.0001227791,5.765626e-7,0.0003344872,0.000202213,0.002473391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002462252,"about_ca_system_score_gemma":0.00003168976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002465848,"about_ca_topic_score_gemma":0.0007457028,"domain_scores_codex":[0.9984265,0.0001102606,0.0004748699,0.000334722,0.000346636,0.0003070091],"domain_scores_gemma":[0.9986337,0.0001030486,0.0004095425,0.0005265595,0.0001894148,0.0001377454],"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":[0.000008755214,0.00002207146,0.000002076913,0.0001766144,0.00005846205,0.00002327316,0.00007593956,0.0003412958,0.000001696881,0.00008781558,0.9926356,0.006566395],"study_design_scores_gemma":[0.0002628745,0.00007458603,0.00001176748,0.0002433841,0.00002357269,0.00005666779,0.00002415714,0.001420449,0.00002801674,0.00001192593,0.9974991,0.0003434695],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000004410803,0.001374941,0.0003556843,0.0003013352,0.0005306299,0.0002287971,0.00004639889,0.0001123155,0.9970455],"genre_scores_gemma":[0.0003394036,0.0007109363,0.02085029,0.0003734455,0.0003184334,0.000009469066,0.00006392723,0.0000612685,0.9772728],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1195735,"threshold_uncertainty_score":0.999917,"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."}}