{"id":"W4285429109","doi":"10.48550/arxiv.2207.05230","title":"Post-field ionization of Si clusters in atom probe tomography: A joint theoretical and experimental study","year":2022,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Materials Characterization Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Ion; Atom probe; Ionization; Atomic physics; Kinetic energy; Atom (system on chip); Field (mathematics); Charge (physics); Energy (signal processing); Physics; Field desorption; Chemistry; Computer science; Mathematics; Quantum mechanics; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007929701,0.0003763859,0.00033847,0.0002370813,0.00036315,0.0005130021,0.001134615,0.0008335413,0.001696628],"category_scores_gemma":[0.001072453,0.000207218,0.0002753114,0.0003136027,0.001406992,0.001481775,0.0005997896,0.0006775919,0.0002513521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008853856,"about_ca_system_score_gemma":0.0003672867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001202103,"about_ca_topic_score_gemma":0.0006838656,"domain_scores_codex":[0.9998268,0.00003425517,0.000003642268,0.00003943073,0.00006721672,0.00002853062],"domain_scores_gemma":[0.9995868,0.0002530557,0.00004784867,0.00004811824,0.00004715125,0.00001701597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002226123,0.0002773757,0.002590542,0.0007906775,0.00004263276,0.0004975225,0.0004874101,0.1771462,0.3319362,0.4577163,0.001665217,0.02662733],"study_design_scores_gemma":[0.00001601941,0.000133478,0.001419187,0.00002702739,0.000009332669,0.0001670958,0.00008714436,0.8805346,0.08255801,0.031321,0.003692503,0.0000345445],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4641729,0.007199598,0.4928117,0.003709101,0.0001537764,0.0001580009,0.0003060752,0.0003941908,0.0310947],"genre_scores_gemma":[0.9494424,0.003224344,0.04461658,0.0001100498,0.00006287867,0.00008676701,0.000107099,0.00005207309,0.002297689],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001696628,"threshold_uncertainty_score":0.00642395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01928346484170764,"score_gpt":0.1903708176125935,"score_spread":0.1710873527708858,"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."}}