{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.001077288,0.0003199291,0.0004798518,0.0001529814,0.001235235,0.00005041451,0.0008447255,0.003217577,0.003232849],"category_scores_gemma":[0.0005356036,0.0003577756,0.0004158801,0.00196246,0.002187371,0.0003005074,0.0002320216,0.002859769,0.006760718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006122178,"about_ca_system_score_gemma":0.0003158803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000692416,"about_ca_topic_score_gemma":0.0004289175,"domain_scores_codex":[0.9967114,0.0007269813,0.0003786094,0.0006087975,0.0004198547,0.001154372],"domain_scores_gemma":[0.9984052,0.0005475649,0.0001817368,0.0005448727,0.000179748,0.0001409095],"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":[0.00005031587,0.0001478938,0.000788408,0.00004955722,0.0003092768,0.0001486709,0.03140252,0.000008632624,0.001571576,0.3902198,0.5463273,0.02897603],"study_design_scores_gemma":[0.0004434242,0.0001096529,0.00361461,0.00004229222,0.0000586721,0.00001626265,0.004739822,0.00001773266,0.0001038821,0.00797075,0.9825169,0.0003659775],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.2964006,0.2714515,0.00002183327,0.09492087,0.07426503,0.0006710563,0.0001447236,0.001195478,0.2609289],"genre_scores_gemma":[0.6041936,0.01154089,0.0001575961,0.002723983,0.002308395,0.00003221487,0.00006993933,0.00005627151,0.3789171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4361896,"threshold_uncertainty_score":0.9998874,"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."}}