{"id":"W6980786685","doi":"","title":"Cooking For Athletes From MMA Legend To US Open Champion With Jen Nickle","year":2020,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Champion; Legend; Athletes; Interview; Quilt","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":[0.0003610931,0.0005302368,0.0002769658,0.0008586298,0.008135903,0.003138668,0.0007371746,0.001348385,0.4887364],"category_scores_gemma":[0.001195596,0.000356513,0.0002869085,0.000688257,0.0007736908,0.002674827,0.004264746,0.001615984,0.2262013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001319451,"about_ca_system_score_gemma":0.001206234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02690065,"about_ca_topic_score_gemma":0.1626762,"domain_scores_codex":[0.999587,0.00004779905,0.000008682287,0.00006547115,0.000117192,0.0001738971],"domain_scores_gemma":[0.9990741,0.00005197631,0.00003093387,0.00004300194,0.0001646279,0.0006353756],"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":[0.00001963758,0.00002994124,0.0005026411,0.00004361818,0.00000117317,0.0001547042,0.001451702,0.000006552169,0.000160556,0.0005507739,0.9729307,0.02414789],"study_design_scores_gemma":[0.000001870259,0.000008986222,0.0009508479,0.00004359377,6.805008e-7,0.00009148908,0.002310602,0.000007141779,0.00008807108,0.00008566201,0.9964061,0.000004841046],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01322352,0.001162566,0.0007455497,0.01244912,0.003752553,0.0001427796,0.002544872,0.002307426,0.9636716],"genre_scores_gemma":[0.01004994,0.0003252055,0.0004883868,0.001771769,0.0002192068,0.00004222822,0.0006868298,0.0007508733,0.9856655],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4887364,"threshold_uncertainty_score":0.7292554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0121425603776143,"score_gpt":0.2100838146998235,"score_spread":0.1979412543222092,"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."}}