{"id":"W2581851121","doi":"10.1039/c6an02707e","title":"Nanospray HX-MS configuration for structural interrogation of large protein systems","year":2017,"lang":"en","type":"article","venue":"The Analyst","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; University of Calgary","keywords":"Interrogation; Chemistry; Workflow; Chromatography; Computer science; Database","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001815843,0.00007072705,0.0001282827,0.00002230059,0.0003282081,0.00007785267,0.0003538243,0.00005113862,0.0003520177],"category_scores_gemma":[0.00003221163,0.00004829661,0.00007482023,0.00003724982,0.00004248865,0.00007467932,0.00003288391,0.00005967196,0.000003001689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003375346,"about_ca_system_score_gemma":0.00001657377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002867944,"about_ca_topic_score_gemma":0.00006563353,"domain_scores_codex":[0.9994714,0.00000984046,0.0002004616,0.0001152275,0.00009944619,0.0001036502],"domain_scores_gemma":[0.9988486,0.00002198031,0.0003875717,0.0006261216,0.00009793417,0.000017776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001818893,0.00001715957,0.0003037624,0.000127484,0.00005965478,1.160088e-7,0.00009810396,0.000006279527,0.7368773,0.261842,0.0003470884,0.0003027832],"study_design_scores_gemma":[0.000326728,0.00003001392,0.0005731133,0.00007404047,0.00008009055,0.000001993669,0.000431252,0.01231699,0.9711469,0.003974319,0.01092605,0.0001184854],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9480278,0.00007807127,0.0201772,0.0008654264,0.00004109363,0.0006155499,0.000172145,0.00008130805,0.02994141],"genre_scores_gemma":[0.9971414,0.000002233897,0.0002640178,0.000005757211,0.0001025786,0.0001881079,0.00007468295,0.000007913691,0.00221331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2578677,"threshold_uncertainty_score":0.3854347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01825625980643511,"score_gpt":0.3097218148609466,"score_spread":0.2914655550545114,"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."}}