{"id":"W6976911356","doi":"10.6084/m9.figshare.11984568.v1","title":"Additional file 2 of A rapid and simple method for routine determination of antibiotic sensitivity to biofilm populations of Pseudomonas aeruginosa","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pseudomonas aeruginosa; Biofilm; Sensitivity (control systems); Antibiotics; Antibiotic sensitivity; Bacteria","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":[],"category_scores_codex":[0.00006045917,0.00005715029,0.0001310334,0.0000190344,0.00003733777,0.000002989781,0.00003837153,0.00003291898,0.44423],"category_scores_gemma":[0.00333994,0.00005918066,0.00004191491,0.0001416416,0.00001264425,0.00005969558,0.00007933771,0.00002831467,0.00002167697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001201877,"about_ca_system_score_gemma":0.000007292904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003312072,"about_ca_topic_score_gemma":0.000009843174,"domain_scores_codex":[0.9994518,0.00004179034,0.0001755531,0.0001334617,0.000118232,0.00007923132],"domain_scores_gemma":[0.9987926,0.0009040151,0.0001579089,0.00006390014,0.00002907207,0.00005250776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001817557,0.00003674467,0.0003507606,0.0002317147,0.000004938098,6.750491e-7,0.0004040145,0.0003256508,0.007127403,0.000003287979,0.9407012,0.05079541],"study_design_scores_gemma":[0.0008650623,0.001246678,0.3461348,0.002787718,0.00005812726,0.0000182804,0.0005926178,0.3570474,0.1860521,0.0002303906,0.1043031,0.0006636562],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.003729288,0.000001679939,0.000832119,0.00007061329,0.000004836922,0.0001572508,0.9950679,0.000009180035,0.0001271588],"genre_scores_gemma":[0.5751967,5.749914e-8,0.1251829,0.00003849156,0.00004339512,0.00002953512,0.2994812,0.000007544621,0.00002025358],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.8363981,"threshold_uncertainty_score":0.556278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07621633756621536,"score_gpt":0.3059974646845746,"score_spread":0.2297811271183592,"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."}}