{"id":"W2039264992","doi":"10.1016/j.nima.2007.08.137","title":"Characterization of diffraction enhanced imaging contrast in plants","year":2007,"lang":"en","type":"article","venue":"Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment","topic":"Advanced X-ray Imaging Techniques","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Brookhaven National Laboratory; Laboratory Directed Research and Development; Basic Energy Sciences; Genome Prairie","keywords":"Extinction (optical mineralogy); Contrast (vision); Diffraction; Materials science; Characterization (materials science); Resolution (logic); Optics; Chemistry; Physics; Computer science","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":[0.001853307,0.0002034516,0.0003479351,0.0005458277,0.0001626592,0.00009456132,0.0001030516,0.00006856344,0.00003645951],"category_scores_gemma":[0.00003974314,0.0002119102,0.00004538104,0.000664306,0.0001261381,0.0004675708,0.0001189238,0.0006003201,4.105992e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000386398,"about_ca_system_score_gemma":0.00002448127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003926603,"about_ca_topic_score_gemma":0.00002095138,"domain_scores_codex":[0.9979004,0.0003279757,0.0004815229,0.0004003257,0.0003369055,0.000552822],"domain_scores_gemma":[0.9992689,0.000158387,0.0002498602,0.0001348656,0.00008517266,0.0001028252],"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":[0.00006815317,0.0001800649,0.0364816,0.00001086595,0.00003078133,9.393251e-7,0.0005429287,0.000001002841,0.7411569,0.0002272275,9.766291e-7,0.2212986],"study_design_scores_gemma":[0.001608016,0.000207478,0.1562571,0.0001845602,0.000009033683,9.122883e-7,0.001420912,0.001164024,0.8315335,0.007196739,0.0001265391,0.0002911869],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752241,0.000009206969,0.02348819,0.00002087095,0.0001670077,0.0004302534,0.00001446243,0.0000373526,0.0006085933],"genre_scores_gemma":[0.9922429,0.00008994496,0.007486652,0.00001627472,0.00007950912,0.00002264082,0.00001885857,0.00003355516,0.000009645199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2210074,"threshold_uncertainty_score":0.8641449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02880393573561595,"score_gpt":0.378838001671246,"score_spread":0.3500340659356301,"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."}}