{"id":"W2104368602","doi":"10.1088/0031-9155/60/1/211","title":"<i>In vivo</i> imaging of rat cortical bone porosity by synchrotron phase contrast micro computed tomography","year":2014,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); University of Saskatchewan","funders":"National Research Council Canada; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Materials science; Biomedical engineering; In vivo; Ex vivo; Cortical bone; Preclinical imaging; X-ray microtomography; Synchrotron radiation; Nuclear medicine; Medicine; Radiology; Pathology; Optics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.000556145,0.0004484209,0.0002169731,0.0006358336,0.0001746915,0.0002771436,0.0004455245,0.0003420336,0.001380933],"category_scores_gemma":[0.0003287952,0.0002687387,0.0002831716,0.0003014955,0.0004979895,0.0003036475,0.0002029374,0.0005366313,0.0002895962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003518405,"about_ca_system_score_gemma":0.000510202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003235955,"about_ca_topic_score_gemma":0.003935981,"domain_scores_codex":[0.9998177,0.00003577983,0.00001450483,0.00003503423,0.00005347816,0.00004353992],"domain_scores_gemma":[0.9994634,0.000129971,0.0001966023,0.00007443115,0.00009697241,0.00003868052],"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":[0.0002216169,0.00004510117,0.000211382,0.00003499319,0.00000342153,0.00004196821,0.00001965409,0.0002686623,0.9973247,0.0001442946,0.00003849909,0.001645696],"study_design_scores_gemma":[0.00001795523,0.0003107145,0.003115602,0.000007163585,0.00001441658,0.0001870725,0.00002831276,0.001689566,0.9939534,0.00006085436,0.0006076873,0.000007188029],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.937848,0.0008017742,0.05592949,0.0001715762,0.00002805414,0.0001340697,0.0007073818,0.0005723747,0.003807229],"genre_scores_gemma":[0.9226089,0.001453435,0.07028648,0.0000988871,0.00002152773,0.0002617314,0.0006752895,0.0001851797,0.004408445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003235955,"threshold_uncertainty_score":0.006434262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04301290274354337,"score_gpt":0.3702989550612237,"score_spread":0.3272860523176803,"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."}}