{"id":"W7030796876","doi":"","title":"CBCR 3 2009 03 06","year":2009,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Healthcare during COVID-19 Pandemic","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"CONTEST; Staring; Collectable; Ridiculous","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":[0.0004050368,0.000440794,0.0005474967,0.0001971634,0.00008199182,0.000119634,0.001381334,0.0006102023,0.06999107],"category_scores_gemma":[0.0001792192,0.0004536462,0.0001876413,0.00002219877,0.00008282168,4.628383e-7,0.0002057986,0.000474321,0.0452393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000123,"about_ca_system_score_gemma":0.0001670235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004387456,"about_ca_topic_score_gemma":0.0007510184,"domain_scores_codex":[0.9973903,0.0001322641,0.0008393335,0.0003930876,0.0006927955,0.0005522403],"domain_scores_gemma":[0.9976783,0.0001344867,0.0007236437,0.001045809,0.0001648385,0.0002529456],"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":[0.000008439139,0.00002944705,0.000002112094,0.0003692605,0.00002330433,0.0000330617,0.0001182251,0.00009252437,1.898817e-7,0.0001928191,0.9922572,0.006873356],"study_design_scores_gemma":[0.0003779982,0.0001295108,0.00002190447,0.000347492,0.00001404325,0.0001089204,0.000009446322,0.0001142583,0.000005514253,0.0000505259,0.998385,0.000435451],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000007506992,0.0006160787,0.00004142931,0.000881779,0.0004079567,0.0004664153,0.00005372548,0.0007478169,0.9967773],"genre_scores_gemma":[0.0001878552,0.0002837763,0.008225329,0.002350398,0.0002438899,0.00001070136,0.00005611625,0.00009359949,0.9885483],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02475177,"threshold_uncertainty_score":0.9997915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008248738827951475,"score_gpt":0.2129284301360516,"score_spread":0.2046796913081002,"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."}}