{"id":"W7068339821","doi":"","title":"CANADA","year":2014,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"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":[0.0001363568,0.000272788,0.0002705505,0.00002960471,0.00003619733,0.00002083492,0.0003343581,0.000366553,0.1024572],"category_scores_gemma":[0.0001821428,0.0002718004,0.00009057717,0.000003245802,0.00006909822,4.94047e-9,0.0001150093,0.0001857032,0.001787691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002423676,"about_ca_system_score_gemma":0.0001542026,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4895822,"about_ca_topic_score_gemma":0.5665276,"domain_scores_codex":[0.998826,0.00004845724,0.000449512,0.0001424832,0.0002996489,0.0002338557],"domain_scores_gemma":[0.9988347,0.00001999705,0.0005134286,0.0004488432,0.00008660646,0.00009647885],"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":[0.00002098177,0.00000770269,0.000006872009,0.0003322165,0.00005268988,0.000001808736,0.000007467516,0.0002555916,0.000001331989,0.00001219584,0.9986313,0.0006698442],"study_design_scores_gemma":[0.0002700603,0.0001035717,0.000008555078,0.00007649212,0.00002283254,0.00003515392,0.00001235195,0.00003579205,0.0000374197,7.199842e-7,0.9991055,0.0002915395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002887354,0.0001688696,0.000002856277,0.00009820241,0.0002662031,0.0001969627,0.0001373557,0.00003858649,0.9990621],"genre_scores_gemma":[0.0007526634,0.00009970773,0.001314264,0.000917955,0.0002273582,0.000006645357,0.0006883589,0.0001134985,0.9958795],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1006695,"threshold_uncertainty_score":0.9999734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002603356745516015,"score_gpt":0.1723157840134314,"score_spread":0.1697124272679154,"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."}}