{"id":"W2031286417","doi":"10.1088/0031-9155/56/3/001","title":"Phase contrast image segmentation using a Laue analyser crystal","year":2011,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Advanced X-ray Imaging Techniques","field":"Physics and Astronomy","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Atomic Energy of Canada Limited; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Analyser; Monochromatic color; Imaging phantom; Segmentation; Contrast (vision); Optics; Phase-contrast imaging; Materials science; Phase (matter); Artificial intelligence; Computer science; Physics; Phase contrast microscopy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00121407,0.0006389241,0.0007282055,0.001765568,0.0006912816,0.001549215,0.0007015273,0.001085433,0.003748422],"category_scores_gemma":[0.002205864,0.0007690053,0.000445942,0.001092352,0.0009046867,0.0009387088,0.0006878483,0.001182276,0.0009250503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001159346,"about_ca_system_score_gemma":0.001395226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00140363,"about_ca_topic_score_gemma":0.002172871,"domain_scores_codex":[0.9993293,0.0000730212,0.00005544939,0.0002259203,0.0002560103,0.00006040728],"domain_scores_gemma":[0.9986306,0.0006151008,0.000157737,0.0001752654,0.0003593854,0.00006192552],"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":[0.0001099543,0.00002822376,0.000205164,0.00006768876,0.000009151046,0.00006699842,0.00007399879,0.0009449838,0.9833773,0.001294538,0.0002167059,0.01360526],"study_design_scores_gemma":[0.00003221792,0.00007725685,0.001592263,0.0000125806,0.00001944913,0.000234846,0.00003595104,0.04486771,0.9482017,0.0005678948,0.004320355,0.00003779664],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1245083,0.0004535821,0.8668153,0.0002677654,0.00008614354,0.0004981198,0.0004393444,0.003498808,0.003432693],"genre_scores_gemma":[0.09315684,0.0002598475,0.9032131,0.00006371038,0.00001662595,0.0004781861,0.0002440827,0.0005198414,0.002047772],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003748422,"threshold_uncertainty_score":0.01253968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2141701102160148,"score_gpt":0.4475447044983428,"score_spread":0.233374594282328,"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."}}