{"id":"W6986076902","doi":"","title":"Armistice Day","year":2013,"lang":"en","type":"other","venue":"York University Digital Library (York University)","topic":"Machine Learning in Bioinformatics","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":[0.00002246441,0.0004659254,0.0003305738,0.0005030161,0.0001535089,0.000195605,0.001251196,0.0006733211,0.001910421],"category_scores_gemma":[0.00002934316,0.0005715142,0.0002456175,0.0004900657,0.0002776918,0.00008416442,0.0009468163,0.0003628072,0.001136297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004123202,"about_ca_system_score_gemma":0.0002148067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004427252,"about_ca_topic_score_gemma":0.00001042053,"domain_scores_codex":[0.9985893,0.00008663639,0.0001406955,0.0005557195,0.0002073167,0.0004202726],"domain_scores_gemma":[0.9986178,0.00003250405,0.000304657,0.0007212829,0.00002260793,0.0003011792],"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":[0.00006285981,0.00006795359,0.001297165,0.00008703913,0.0002229663,0.00008993233,0.00002712115,0.00002137691,0.00002395877,0.004057272,0.9929139,0.00112846],"study_design_scores_gemma":[0.0005563291,0.0001214743,0.00006180061,0.00009072755,0.00007558591,0.00001044063,0.0005195934,0.00004417429,0.00004478428,0.00000942636,0.9978141,0.0006516324],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003305791,0.000171006,0.001420915,0.00007747998,0.000222277,0.0002928165,0.001156637,0.000409624,0.9959187],"genre_scores_gemma":[0.002169807,0.0002366377,0.001802832,0.0001491268,0.0003161295,8.97351e-8,0.003400785,0.0002630914,0.9916615],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.004900136,"threshold_uncertainty_score":0.9996736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004366926420743741,"score_gpt":0.1540785853947946,"score_spread":0.1497116589740508,"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."}}