{"id":"W7099779771","doi":"","title":"Correspondence","year":2006,"lang":"en","type":"article","venue":"","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Staphylococcus aureus; Identification (biology); Amino acid; Bacteria; Staphylococcus; Bacterial protein","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":["insufficient_payload"],"category_scores_codex":[0.0002191391,0.0004546484,0.0004417095,0.001063954,0.00138742,0.001104145,0.000713351,0.001313916,0.6712055],"category_scores_gemma":[0.001896472,0.000183397,0.0003197976,0.0006443433,0.0003797147,0.0003296454,0.0007902507,0.0006156062,0.2268125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001299487,"about_ca_system_score_gemma":0.001149882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006779142,"about_ca_topic_score_gemma":0.01357685,"domain_scores_codex":[0.9994821,0.00003978494,0.00002626756,0.0001429458,0.0001515332,0.0001574893],"domain_scores_gemma":[0.998956,0.0001789113,0.00003766349,0.00009208018,0.0003261523,0.000409197],"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":[0.0014759,0.0002828815,0.01648876,0.0006120371,0.00005578872,0.006780697,0.0008708775,0.0003705089,0.01167408,0.01335218,0.505621,0.4424153],"study_design_scores_gemma":[0.00007754264,0.0001083369,0.01003247,0.00006007004,0.00001708212,0.001911989,0.0002634388,0.0001163601,0.001723034,0.0009123656,0.9847651,0.00001228236],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04786548,0.002963088,0.001446551,0.01808465,0.01582719,0.0006573154,0.01261203,0.0005979556,0.8999458],"genre_scores_gemma":[0.07332566,0.0007309521,0.0004776438,0.001948059,0.0009485959,0.00009335331,0.002129003,0.0001165372,0.9202302],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3287945,"threshold_uncertainty_score":0.4689854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009490534985629686,"score_gpt":0.2251376995270556,"score_spread":0.2156471645414259,"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."}}