{"id":"W3211012387","doi":"10.3390/app112110041","title":"A Contrast Calibration Protocol for X-ray Speckle Visibility Spectroscopy","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced X-ray Imaging Techniques","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"U.S. Department of Energy","keywords":"Visibility; Optics; Detector; Speckle pattern; Calibration; Pixel; Physics; Photon; Contrast (vision); Computer science; Noise (video); Photon counting; Artificial intelligence; Image (mathematics)","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":[0.001091563,0.0006006832,0.0003764195,0.000636766,0.0007147487,0.0008194095,0.001015741,0.0006699261,0.002720589],"category_scores_gemma":[0.00490326,0.0003578576,0.0003184774,0.0006872234,0.0005542868,0.000934828,0.001308888,0.001509184,0.001203821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006184808,"about_ca_system_score_gemma":0.001134472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005692103,"about_ca_topic_score_gemma":0.0007972248,"domain_scores_codex":[0.9989368,0.0001452272,0.00007555456,0.0002893384,0.0004615086,0.00009151594],"domain_scores_gemma":[0.9982127,0.0004142194,0.0001941077,0.0005751881,0.0005439351,0.00005994826],"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":[0.0005374458,0.0003614197,0.002069249,0.0001888624,0.00005303543,0.0002454811,0.0002387797,0.02181062,0.6762054,0.02615962,0.00339208,0.2687381],"study_design_scores_gemma":[0.00006251322,0.0003127337,0.001926242,0.00002967437,0.00002332238,0.0004416793,0.00005115628,0.2645875,0.7116532,0.009032812,0.01178806,0.00009118984],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03507921,0.0001165283,0.9610678,0.00007591367,0.00006887291,0.0003574711,0.0001869853,0.00184398,0.001203292],"genre_scores_gemma":[0.1757231,0.0001431081,0.8200939,0.00009757037,0.00002433894,0.001057042,0.000546239,0.0004325143,0.001882298],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002720589,"threshold_uncertainty_score":0.009101272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02552185362876545,"score_gpt":0.3527420045007315,"score_spread":0.327220150871966,"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."}}