{"id":"W6946346889","doi":"10.3389/fmicb.2018.00256.s002","title":"Table2.DOCX","year":2018,"lang":"en","type":"dataset","venue":"Figshare","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Antibiotic resistance; Antimicrobial; Efflux; SCCmec; Staphylococcus aureus; Genotype; Linezolid; Drug resistance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002622579,0.001908598,0.002140075,0.004032648,0.001850526,0.003847817,0.003399261,0.001689835,0.8638988],"category_scores_gemma":[0.02833427,0.001119017,0.0013759,0.005745769,0.0006898039,0.002839515,0.002165665,0.001941205,0.4469989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001631268,"about_ca_system_score_gemma":0.004791734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01358733,"about_ca_topic_score_gemma":0.0151995,"domain_scores_codex":[0.9984719,0.0003010262,0.0002632035,0.0003695873,0.0004007653,0.000193492],"domain_scores_gemma":[0.9854855,0.007519644,0.0008294963,0.001034465,0.004398258,0.0007325733],"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":[0.0001722383,0.00003146758,0.0009565869,0.003118434,0.00003013849,0.00006917716,0.00007286482,0.0001596036,0.0001202337,0.00052558,0.9817564,0.01298705],"study_design_scores_gemma":[0.0003592132,0.00009617514,0.004601689,0.002061431,0.00006903803,0.0002778849,0.0003531492,0.0004052532,0.0005224164,0.00409636,0.9870992,0.0000582664],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003991815,0.000281957,0.001231404,0.0008867119,0.0008607311,0.0006667603,0.9780496,0.002214534,0.01540909],"genre_scores_gemma":[0.006152273,0.001363985,0.01242812,0.004415622,0.0007147468,0.004996317,0.8693348,0.005422947,0.0951712],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8638988,"threshold_uncertainty_score":0.1941319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04007013388494787,"score_gpt":0.2489652410938012,"score_spread":0.2088951072088533,"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."}}