{"id":"W7010052958","doi":"","title":"Gormley - Julie Ellis - Thursday, May 12, 2022","year":2022,"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":"Pandemic; Joins; Volume (thermodynamics); Independence (probability theory); Table (database)","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":["insufficient_payload"],"category_scores_codex":[0.0004012052,0.0006313879,0.0003426168,0.000632759,0.00211168,0.003414317,0.0005954877,0.001544314,0.705096],"category_scores_gemma":[0.001668098,0.0003947472,0.0003046577,0.0005338915,0.0003395705,0.001313834,0.00146848,0.001980053,0.5769174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001095789,"about_ca_system_score_gemma":0.00157811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02751074,"about_ca_topic_score_gemma":0.1282304,"domain_scores_codex":[0.9996722,0.00002320016,0.000008500234,0.00004756606,0.0001634217,0.00008516913],"domain_scores_gemma":[0.9992039,0.00005036891,0.00002553134,0.00004645359,0.000332992,0.0003408396],"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":[0.000009539267,0.000006788348,0.00005191282,0.000008438726,3.985957e-7,0.00001640347,0.000006903737,0.000005767018,0.0000369593,0.0002153882,0.9933343,0.0063073],"study_design_scores_gemma":[0.000004312548,0.000006163611,0.0004160228,0.00002146287,6.755998e-7,0.00001298373,0.00003931894,0.00001555863,0.00004598551,0.00007008237,0.9993646,0.000002860761],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005731899,0.0007388589,0.0001833077,0.006053111,0.004763679,0.00007773589,0.002886048,0.0008687449,0.9838554],"genre_scores_gemma":[0.0005436102,0.0001457863,0.00003776816,0.0008291589,0.00009866474,0.000008834982,0.0002813967,0.0000747669,0.9979801],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.294904,"threshold_uncertainty_score":0.4206448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007303111099100961,"score_gpt":0.1927742507437925,"score_spread":0.1854711396446915,"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."}}