{"id":"W4255234533","doi":"10.1515/iupac.85.0753","title":"Surface-Enhanced Laser Desorption/Ionization (SELDI)","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; National Research Council Canada","funders":"","keywords":"Chemical nomenclature; Mass spectrometry; Terminology; Chemistry; Analytical Chemistry (journal); Chromatography; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00343197,0.002063757,0.002158216,0.005911108,0.0009467329,0.003905571,0.002774396,0.001558686,0.07281037],"category_scores_gemma":[0.01431086,0.0007342128,0.00142635,0.01032342,0.0004533337,0.002331584,0.002449213,0.002370876,0.130358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001589117,"about_ca_system_score_gemma":0.003906827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007817845,"about_ca_topic_score_gemma":0.01188167,"domain_scores_codex":[0.9963323,0.0006711092,0.0006871522,0.00103765,0.0009865344,0.0002852641],"domain_scores_gemma":[0.9943532,0.001765336,0.0009511226,0.00135623,0.001270869,0.0003033312],"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":[0.0001468032,0.00002228378,0.001237802,0.002335639,0.00007684773,0.00003929144,0.00002706354,0.0001833973,0.0005091869,0.0007212146,0.9848812,0.009819278],"study_design_scores_gemma":[0.0001502848,0.00002142143,0.004469275,0.0006430961,0.00006029302,0.0001119262,0.00005121826,0.0001934987,0.0008318742,0.001812736,0.9916155,0.00003892431],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001165594,0.000237012,0.0003136724,0.00007627489,0.00003273854,0.00002918142,0.9978681,0.000499101,0.0008273791],"genre_scores_gemma":[0.0002562318,0.0002750939,0.0009222182,0.00009440529,0.000009011278,0.0001613615,0.9974431,0.0001141981,0.0007244137],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07281037,"threshold_uncertainty_score":0.243575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01169346649705655,"score_gpt":0.3650661819938266,"score_spread":0.35337271549677,"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."}}