{"id":"W4380360725","doi":"10.1038/s41590-023-01541-x","title":"Oyez, Oyez, Oyez!","year":2023,"lang":"fr","type":"article","venue":"Nature Immunology","topic":"Cuban History and Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Infection and Immunity","funders":"","keywords":"Biology; Computational biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001200907,0.0005778455,0.0005727501,0.0007744494,0.003653672,0.003670238,0.0004600004,0.002353882,0.0425177],"category_scores_gemma":[0.003484504,0.0002033021,0.0002992267,0.0007123533,0.002347476,0.003114369,0.001944617,0.003653453,0.0123407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002569225,"about_ca_system_score_gemma":0.00272739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03534461,"about_ca_topic_score_gemma":0.04693934,"domain_scores_codex":[0.999405,0.0001530997,0.0000213333,0.0001074986,0.0001462318,0.0001669121],"domain_scores_gemma":[0.9990433,0.0001168442,0.00009681451,0.00007600609,0.0003957949,0.0002713141],"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":[0.0001102361,0.00002278384,0.002332197,0.0001775231,0.00001926103,0.0001702607,0.00118223,0.00004928909,0.0004836492,0.0904184,0.839685,0.0653492],"study_design_scores_gemma":[0.000004768944,0.000007886285,0.00155892,0.0001172036,0.000006145207,0.00008415784,0.001023374,0.00003446392,0.0001366651,0.005797625,0.9912173,0.0000114883],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01055665,0.08280586,0.002273087,0.678713,0.07206104,0.00003452294,0.0009337845,0.0004957443,0.1521263],"genre_scores_gemma":[0.120251,0.03797112,0.00349442,0.08306087,0.009997495,0.00009712172,0.0006735058,0.0004521814,0.7440023],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0425177,"threshold_uncertainty_score":0.1422359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01588913950814188,"score_gpt":0.3151137484364882,"score_spread":0.2992246089283463,"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."}}