{"id":"W6922020208","doi":"10.1021/ac4006233.s001","title":"On-chip\\nEnrichment and Analysis of Peptide Subsets\\nUsing a Maleimide-functionalized Fluorous Affinity Biochip and Nanostructure\\nInitiator Mass Spectrometry","year":2016,"lang":"en","type":"article","venue":"Figshare","topic":"Education Methods and Technologies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Mass spectrometry; Peptide; Analyte; Biochip; Protein mass spectrometry; Peptide mapping; Cysteine; Mass spectrum; Matrix-assisted laser desorption/ionization","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002444639,0.0001193558,0.0002460038,0.0003769917,0.0002490699,0.0000528707,0.0001328466,0.0001239711,0.03965168],"category_scores_gemma":[0.003832646,0.00008734564,0.00007806363,0.0007836889,0.00008951154,0.0001029553,0.00005628655,0.00008176632,0.00001935783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006178317,"about_ca_system_score_gemma":0.00009259939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006192477,"about_ca_topic_score_gemma":0.00008172007,"domain_scores_codex":[0.9989101,0.000157344,0.0001859307,0.0002738564,0.0002669281,0.0002058308],"domain_scores_gemma":[0.9984472,0.0009967466,0.000174422,0.0001881987,0.0001069513,0.00008649987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005646888,0.0007467327,0.386366,0.0008417838,0.005718137,0.00007174845,0.01492099,0.00001929293,0.07462544,0.1866193,0.1305964,0.1989095],"study_design_scores_gemma":[0.0009588307,0.0002032282,0.9287144,0.0007070989,0.0004843369,0.000004643885,0.00419132,0.00001734012,0.009511782,0.03294731,0.02159208,0.0006676251],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.969702,0.0007619893,0.00006720544,0.001306014,0.0001138555,0.0002298418,0.02346761,0.0001300474,0.004221407],"genre_scores_gemma":[0.9911054,0.00008426626,0.007679485,0.00009930618,0.00005670572,0.00003254775,0.0006819023,0.00000871236,0.0002516767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5423484,"threshold_uncertainty_score":0.9612262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05012706934396587,"score_gpt":0.3296233482566652,"score_spread":0.2794962789126993,"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."}}