{"id":"W7028515745","doi":"","title":"Episode 2: Glory Days","year":2018,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Textile materials and evaluations","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Favourite; Glory; MAGIC (telescope); Gloom","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":[0.0004627338,0.0003335041,0.0004553633,0.00007461849,0.00009891508,0.0001081977,0.000471727,0.0003864186,0.9338902],"category_scores_gemma":[0.0001609127,0.0003134123,0.0001253436,0.000006646509,0.0002505414,2.445526e-7,0.0001485802,0.00009625772,0.233114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004496866,"about_ca_system_score_gemma":0.00004272229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00434646,"about_ca_topic_score_gemma":0.001486761,"domain_scores_codex":[0.9980676,0.0001158846,0.0007031435,0.0002558447,0.0005061176,0.0003513837],"domain_scores_gemma":[0.998412,0.00006983191,0.0006789358,0.0005426149,0.0001785349,0.0001180425],"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":[0.00003384807,0.00003131313,6.30361e-7,0.0002834824,0.00001746676,0.000004071723,0.00007320946,0.00004571963,0.00005584905,0.00004686658,0.9990245,0.0003830924],"study_design_scores_gemma":[0.0003089644,0.0001037688,0.000007073213,0.0002204602,0.00005435483,0.00002890532,0.00003467485,0.00001028923,0.0004050981,0.0000327744,0.9984597,0.0003339101],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003401361,0.0001318416,0.000001274692,0.00009827919,0.001313035,0.0003921817,0.00040561,0.0003144677,0.9970032],"genre_scores_gemma":[0.0005917158,0.00007221019,0.002092318,0.000208394,0.0005349853,0.00002938165,0.0001677155,0.0001374515,0.9961658],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7007762,"threshold_uncertainty_score":0.9999318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009431157169323008,"score_gpt":0.207899038476572,"score_spread":0.198467881307249,"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."}}