{"id":"W7068375853","doi":"","title":"LGS 20131012 IM","year":2013,"lang":"fr","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":true,"ca_institutions":"","funders":"","keywords":"Term (time); Context (archaeology); The Internet","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":[0.0003330187,0.0006881506,0.0005979501,0.00007702757,0.0001380843,0.0001185308,0.0007193499,0.001239002,0.7348897],"category_scores_gemma":[0.0004116034,0.0006971858,0.0003607375,0.00000936975,0.0004091186,7.360207e-8,0.0003582498,0.0005729925,0.09252389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006261554,"about_ca_system_score_gemma":0.00008927334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002656504,"about_ca_topic_score_gemma":0.0004566588,"domain_scores_codex":[0.9971499,0.0001616858,0.001267087,0.000328328,0.000463333,0.0006296774],"domain_scores_gemma":[0.9972305,0.00008197186,0.001187342,0.0008522004,0.0003777067,0.0002703116],"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":[0.00006930921,0.00007785361,0.00005009761,0.001760113,0.0002030004,0.000004874397,0.00017138,0.0009489243,0.00001579582,0.0002306283,0.9888075,0.007660508],"study_design_scores_gemma":[0.0007113292,0.0004773379,0.00008534724,0.0002862928,0.0001187744,0.0001590202,0.0001013115,0.0004116499,0.0001356912,0.000006361276,0.9967875,0.0007193811],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000690517,0.001618461,0.000008623745,0.0004958253,0.0007652992,0.000733275,0.0001749962,0.00005753199,0.9954554],"genre_scores_gemma":[0.001668697,0.001202979,0.005662119,0.0008524724,0.0004878279,0.00003245072,0.0007544127,0.000144326,0.9891947],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6423658,"threshold_uncertainty_score":0.999548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003485089971676244,"score_gpt":0.1824781949947474,"score_spread":0.1789931050230711,"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."}}