{"id":"W1976422410","doi":"10.1016/j.ijms.2014.08.021","title":"Sodium-sizer for neutral nanosized molecular aggregates: Quantitative correction of size-dependence","year":2014,"lang":"en","type":"article","venue":"International Journal of Mass Spectrometry","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Eidgenössische Technische Hochschule Zürich; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Photoionization; Chemistry; Detector; Nanometre; Range (aeronautics); Analytical Chemistry (journal); Ion; Sodium; Atomic physics; Computational physics; Ionization; Optics; Chromatography; Physics; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003060782,0.0001376959,0.0003133316,0.0001370404,0.00001896419,0.00002429137,0.0003890787,0.00009852929,0.000244402],"category_scores_gemma":[0.002847433,0.0001247826,0.0003237729,0.0001612319,0.0000610801,0.0001421529,0.00002289016,0.0002868059,0.000006855385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001197017,"about_ca_system_score_gemma":0.00003246661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005904283,"about_ca_topic_score_gemma":4.943248e-7,"domain_scores_codex":[0.9986554,0.00002842521,0.0005514192,0.00014142,0.0004491034,0.0001742476],"domain_scores_gemma":[0.9977422,0.001025137,0.000442408,0.00009627358,0.0005999247,0.00009408502],"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":[0.0005402879,0.00007869212,0.0001088347,0.00002754655,0.0003189386,0.00001994085,0.00004399305,0.003607533,0.9872043,0.00761443,0.0001477742,0.0002877219],"study_design_scores_gemma":[0.001193076,0.0002252407,0.00009304228,0.0001199164,0.00006169801,0.00006404677,0.00009905617,0.03218493,0.9619523,0.003413029,0.0004593585,0.000134318],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6408803,0.0001781022,0.3529141,0.0007985148,0.001317051,0.00007203495,0.00001610264,0.00002581508,0.00379799],"genre_scores_gemma":[0.9830606,0.00002855009,0.01596908,0.00006930626,0.0003107867,0.000001705256,0.000003076204,0.00001830915,0.0005385944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3421803,"threshold_uncertainty_score":0.5088488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009774282927445572,"score_gpt":0.2696480121869876,"score_spread":0.259873729259542,"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."}}