{"id":"W7116688770","doi":"10.1021/acs.jpca.5c07766","title":"X-ray Coherent Diffractive Imaging of Large Helium Nanodroplets Doped with Small Molecules","year":2025,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry A","topic":"Advanced X-ray Imaging Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Chemical Sciences, Geosciences, and Biosciences Division; Division of Materials Research; Division of Chemistry; Natural Sciences and Engineering Research Council of Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Alexander von Humboldt-Stiftung","keywords":"Dopant; Cluster (spacecraft); Helium; Xenon; Doping; Context (archaeology); Spectral line; Molecule","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":[0.0001340544,0.000167651,0.0003098736,0.00001999328,0.0000635337,0.00001583933,0.0003583755,0.00001321112,0.00002480426],"category_scores_gemma":[0.00001509572,0.0001035462,0.0001355254,0.0001394001,0.0001291497,0.00009562667,0.0001008997,0.0003823969,8.482487e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003406415,"about_ca_system_score_gemma":0.00008850336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001280158,"about_ca_topic_score_gemma":1.707948e-7,"domain_scores_codex":[0.9992216,0.00004391266,0.000249391,0.0001053306,0.0001837972,0.0001959962],"domain_scores_gemma":[0.9988778,0.0001583431,0.0004345981,0.0002472762,0.0002330281,0.00004899248],"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":[0.0002161817,0.0006077357,0.0008130529,0.00006061195,0.0002140744,0.000005780005,0.000362289,0.0009527134,0.9940741,0.0008375876,0.0002231404,0.001632704],"study_design_scores_gemma":[0.0007193843,0.00004499478,0.0003323066,0.0002954485,0.0001577403,0.000004219245,0.0005975555,0.001585113,0.9895142,0.006051565,0.0005723193,0.0001251005],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6684209,0.00009488373,0.3253012,0.0005210515,0.0000154943,0.0001238816,0.00002370861,0.00002175293,0.005477217],"genre_scores_gemma":[0.9979915,0.000001923822,0.001615737,0.00004503169,0.0001674684,0.000004737481,0.000002643905,0.00001478739,0.0001561491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3295707,"threshold_uncertainty_score":0.4222491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00504894455658637,"score_gpt":0.2598178514384846,"score_spread":0.2547689068818982,"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."}}