{"id":"W7002905941","doi":"","title":"Barabbas","year":2011,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"","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":[0.0002424556,0.0003106005,0.0003142754,0.00007701684,0.00004242798,0.00002963511,0.0004924574,0.0006931281,0.2476466],"category_scores_gemma":[0.0002050645,0.000283361,0.0001849146,0.000006314434,0.0002916409,1.315047e-8,0.0002208138,0.0002096857,0.01326921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001318749,"about_ca_system_score_gemma":0.00007202695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001453815,"about_ca_topic_score_gemma":0.0007645921,"domain_scores_codex":[0.9983537,0.00004957719,0.0005657636,0.0002097318,0.0004375439,0.0003836992],"domain_scores_gemma":[0.9987267,0.00001647773,0.0003557357,0.0005180773,0.0001667244,0.0002163345],"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":[0.00006829541,0.00004359114,0.000003070969,0.0003939749,0.00008260684,0.000003828755,0.00003652676,0.000003062784,0.00001193112,0.000009251698,0.9949541,0.004389762],"study_design_scores_gemma":[0.0004231036,0.0003684291,0.00001006978,0.0001018124,0.00002829302,0.00002567455,0.00005026493,0.000004192715,0.0004152794,0.000007625202,0.9982494,0.0003159239],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00004571631,0.0005982013,0.000003273876,0.00005630755,0.0002888767,0.0003362729,0.0001677119,0.00004461131,0.998459],"genre_scores_gemma":[0.0004571532,0.001804543,0.001600023,0.0003217108,0.0003270048,0.000012884,0.000572104,0.0001074044,0.9947972],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2343774,"threshold_uncertainty_score":0.9999619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008944406168849657,"score_gpt":0.208841705292704,"score_spread":0.1998972991238543,"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."}}