{"id":"W568321271","doi":"10.1371/journal.pone.0126230","title":"Three Dimensional Imaging of Paraffin Embedded Human Lung Tissue Samples by Micro-Computed Tomography","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Advanced X-ray Imaging Techniques","field":"Physics and Astronomy","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Engineering and Physical Sciences Research Council; Canadian Institutes of Health Research; University of Southampton; Canadian Thoracic Society","keywords":"Lung; Histology; Pathology; Voxel; Tomography; Biomedical engineering; Computed tomography; Nuclear medicine; Medicine; Radiology","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":[0.0001071014,0.000189509,0.0003187763,0.0001019212,0.00007298408,0.00002613123,0.0002419077,0.00002289534,0.00006508182],"category_scores_gemma":[0.000007122695,0.0001986426,0.00006336123,0.0001779319,0.0001073025,0.0001610481,0.0001294264,0.0001502673,0.000007878631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002691274,"about_ca_system_score_gemma":0.00003354906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002215589,"about_ca_topic_score_gemma":0.000003128254,"domain_scores_codex":[0.9988734,0.00002612949,0.0002765811,0.0002818232,0.0002768898,0.0002651839],"domain_scores_gemma":[0.9991544,0.0000495547,0.0001656686,0.0003426965,0.0001822265,0.0001054931],"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":[0.0000180672,0.001158604,0.16249,0.0000365649,0.0002651775,0.000001881455,0.0001854188,0.00003678695,0.8175386,0.001826473,0.0148203,0.001622129],"study_design_scores_gemma":[0.0006082976,0.0000475399,0.001465107,0.0001918021,0.00009632204,4.182731e-7,0.00003761758,0.001789478,0.9692318,0.02599688,0.0002221914,0.0003124924],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8996848,0.000559065,0.09809608,0.0001652787,0.0000316163,0.000400597,0.0001395753,0.0002968638,0.00062609],"genre_scores_gemma":[0.8082156,2.783292e-7,0.1913826,0.00003405578,0.000101859,0.0000262406,0.0001758084,0.00003127399,0.00003232944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1610249,"threshold_uncertainty_score":0.8100411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03058511906266087,"score_gpt":0.2731081292368611,"score_spread":0.2425230101742002,"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."}}