{"id":"W2744750719","doi":"10.1039/c7an00161d","title":"A broader view on ion heating in traveling-wave devices using fragmentation of CsI clusters and extent of H˙ migration as molecular thermometers","year":2017,"lang":"en","type":"article","venue":"The Analyst","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"IONICS Mass Spectrometry (Canada)","funders":"Vlaamse regering; Vlaamse Instelling voor Technologisch Onderzoek; Fonds Wetenschappelijk Onderzoek","keywords":"Fragmentation (computing); Ion; Traveling wave; Materials science; Analytical Chemistry (journal); Engineering physics; Chemistry; Physics; Computer science; Environmental 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000176204,0.00007192678,0.0001389544,0.00005425873,0.00008883702,0.00002657685,0.000109947,0.00003531979,0.00005522668],"category_scores_gemma":[0.00001879512,0.00005496795,0.0000481514,0.00008559097,0.00004715912,0.00004757624,0.00002706364,0.00006303011,2.146316e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002882456,"about_ca_system_score_gemma":0.00000812363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001618051,"about_ca_topic_score_gemma":0.000106206,"domain_scores_codex":[0.999436,0.000021335,0.0002249065,0.0001216485,0.000125348,0.00007072608],"domain_scores_gemma":[0.9993033,0.00003329857,0.000315538,0.000305563,0.00002735945,0.00001498493],"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":[0.00001695307,0.00004085645,0.002905713,0.0001055207,0.00003981238,8.173237e-7,0.0004804704,0.0004044226,0.9897057,0.0008471286,0.00000106426,0.00545152],"study_design_scores_gemma":[0.000281199,0.00004824926,0.006773231,0.0004079662,0.0001238308,0.000003929517,0.001054428,0.0364815,0.9532423,0.001450907,0.0000203208,0.0001121112],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965193,0.000146602,0.001286583,0.0002591409,0.000003257532,0.00009123529,0.000003042326,0.000006168847,0.001684631],"genre_scores_gemma":[0.9987985,0.00008134184,0.001034074,0.00003922902,0.000009307015,0.00001041975,0.000006891255,0.000006702801,0.00001354828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03646339,"threshold_uncertainty_score":0.244602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03305169845241333,"score_gpt":0.3152421815041684,"score_spread":0.282190483051755,"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."}}