{"id":"W4394721400","doi":"10.1039/d4an00242c","title":"Ion parking in native mass spectrometry","year":2024,"lang":"en","type":"article","venue":"The Analyst","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; SCIEX","keywords":"Ion; Mass spectrometry; Chemistry; Analytical Chemistry (journal); Chromatography; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00108685,0.0004806428,0.0004614285,0.0004202991,0.0003697174,0.001117814,0.001232953,0.0008615732,0.003568947],"category_scores_gemma":[0.001242937,0.0003799628,0.0002814254,0.0004121275,0.001035055,0.002024928,0.001400552,0.0006777644,0.002862635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004733726,"about_ca_system_score_gemma":0.0004281529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000323516,"about_ca_topic_score_gemma":0.0003559851,"domain_scores_codex":[0.9993318,0.0001591764,0.00002665663,0.0002324921,0.0001956736,0.00005405739],"domain_scores_gemma":[0.9996185,0.0001428358,0.00003968236,0.0001285383,0.00004675837,0.00002369703],"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":[0.001068382,0.0004029755,0.004174999,0.001181791,0.00009951085,0.001104398,0.0004251521,0.01442631,0.4602009,0.2728284,0.01313655,0.2309505],"study_design_scores_gemma":[0.0001194478,0.0006393698,0.002546352,0.0001477984,0.0000508069,0.005583267,0.000183927,0.2930538,0.4586032,0.1400291,0.09887663,0.0001662476],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09534936,0.004015855,0.8665472,0.0006796382,0.0006211353,0.0002158264,0.0004994256,0.006836661,0.02523495],"genre_scores_gemma":[0.6077901,0.002273095,0.3614692,0.00115385,0.0002251941,0.0004286096,0.0006530246,0.0003264539,0.02568056],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003568947,"threshold_uncertainty_score":0.01193935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01357308707204231,"score_gpt":0.2807279726364439,"score_spread":0.2671548855644016,"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."}}