{"id":"W6958455918","doi":"10.6084/m9.figshare.22259500","title":"Supplementary Figure 1","year":2023,"lang":"en","type":"other","venue":"Figshare","topic":"Legal and Regulatory Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multilocus sequence typing; Sequence (biology); Colored; Timeline; Line (geometry); White (mutation)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00003782566,0.0001059136,0.0001394877,0.0001018179,0.0001514309,0.00004142972,0.0002629881,0.0002401228,0.9870167],"category_scores_gemma":[0.0001328595,0.00009238513,0.0001318675,0.0002636011,0.00001384027,0.00002546932,0.00005233945,0.0001076177,0.02421856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004338177,"about_ca_system_score_gemma":0.0001037667,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003767945,"about_ca_topic_score_gemma":0.0525142,"domain_scores_codex":[0.999194,0.0000488814,0.00007222457,0.000185835,0.000288739,0.0002103072],"domain_scores_gemma":[0.9996387,0.00003486694,0.00007128678,0.0001542828,0.00001690939,0.00008399349],"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":[1.877541e-7,0.000004164145,0.000009192012,0.00003088428,0.00004982982,0.00001662109,0.0002197048,1.80702e-7,4.761641e-8,0.00007242756,0.998886,0.0007106921],"study_design_scores_gemma":[0.00003161043,0.000002374006,0.00001884695,0.0006274121,0.00001866629,4.937733e-8,0.0001563167,4.895342e-7,0.000001265061,0.00002317208,0.9989883,0.0001314649],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[5.43842e-8,0.0001548836,6.512796e-9,0.0003348026,0.0000990111,0.00008208454,0.4235018,0.0002995981,0.5755277],"genre_scores_gemma":[0.00001996499,0.00001897317,0.000004764652,0.0001181941,0.001381013,0.00005074497,0.1593184,0.0002406229,0.8388473],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9627982,"threshold_uncertainty_score":0.9765412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03714489326028669,"score_gpt":0.3075945385222269,"score_spread":0.2704496452619402,"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."}}