{"id":"W2420454575","doi":"10.1107/s1600577516008225","title":"Continuous-scan capability at SSRL and applications to X-ray diffraction","year":2016,"lang":"en","type":"article","venue":"Journal of Synchrotron Radiation","topic":"Advanced X-ray Imaging Techniques","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Diffraction; Detector; Acceleration; Computer science; Position sensor; Data acquisition; Controller (irrigation); SIGNAL (programming language); Position (finance); Synchrotron radiation; Repeatability; Timer; Optics; Computer hardware; Physics; Acoustics; Microcontroller","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":[0.002400273,0.0005782595,0.0008291361,0.0009722692,0.0004611337,0.0008829411,0.002270127,0.000698445,0.01250489],"category_scores_gemma":[0.002214814,0.0009306144,0.0004035373,0.001781661,0.0005053024,0.001029875,0.0007776564,0.001222625,0.002749445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006027581,"about_ca_system_score_gemma":0.0009834882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001747431,"about_ca_topic_score_gemma":0.002542448,"domain_scores_codex":[0.9985668,0.0001625832,0.0001026761,0.000262423,0.0008246822,0.00008073985],"domain_scores_gemma":[0.9978378,0.0005853685,0.0001331607,0.0004851535,0.0008511074,0.0001074056],"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":[0.0007497324,0.0002234897,0.004058809,0.001145445,0.00004497746,0.0004982727,0.0004180597,0.001616079,0.7808809,0.009758032,0.01433681,0.1862693],"study_design_scores_gemma":[0.0003105238,0.0009191103,0.01013482,0.0001670812,0.0000859634,0.002657195,0.0001824021,0.04960347,0.7787597,0.002103007,0.1549039,0.0001729306],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09013661,0.003356003,0.8497339,0.0007481847,0.0003868486,0.0004824093,0.002489546,0.03266738,0.01999912],"genre_scores_gemma":[0.189551,0.002272913,0.7945144,0.0001745667,0.00008846751,0.0005131573,0.002177067,0.001321458,0.009386962],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01250489,"threshold_uncertainty_score":0.04183298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00566091047769442,"score_gpt":0.265197034551745,"score_spread":0.2595361240740506,"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."}}