{"id":"W7069237244","doi":"","title":"Novembre 2020","year":2020,"lang":"fr","type":"other","venue":"OpenEdition (OpenEdition)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Center (category theory); Context (archaeology); Government (linguistics); George (robot); Work (physics); State (computer science); Public policy","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","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003460935,0.001044117,0.0008452514,0.0001449085,0.0003935423,0.0003626158,0.001130515,0.001397067,0.07321245],"category_scores_gemma":[0.0005929514,0.001146058,0.0004702087,0.0004027551,0.0003977658,0.0003259068,0.0007462229,0.001007482,0.01888043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001394033,"about_ca_system_score_gemma":0.0004850626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005214389,"about_ca_topic_score_gemma":0.0007710597,"domain_scores_codex":[0.9958883,0.0003223832,0.001096468,0.001179463,0.0007227427,0.000790645],"domain_scores_gemma":[0.9969777,0.00007076324,0.0009766271,0.001087302,0.0002723407,0.0006151927],"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":[0.0002127797,0.0003437674,0.0002078927,0.0009761294,0.000622633,0.0001065477,0.0001068116,0.0005289432,0.006187007,0.05592723,0.9192379,0.01554244],"study_design_scores_gemma":[0.001435404,0.0007554746,0.00176633,0.0004118194,0.0002151584,0.0001576625,0.00008993496,0.000996945,0.003802564,0.0001588259,0.9889279,0.001282008],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002709254,0.003289144,0.01117642,0.07715908,0.005044871,0.001570451,0.002010079,0.0001544363,0.8993246],"genre_scores_gemma":[0.02321647,0.003398929,0.02136733,0.1691554,0.0139014,0.0005073264,0.03994089,0.0009036078,0.7276087],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1717159,"threshold_uncertainty_score":0.9998993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007224015466982509,"score_gpt":0.2331082424141177,"score_spread":0.2258842269471352,"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."}}