{"id":"W363173866","doi":"10.1371/journal.pone.0126817","title":"A Method for 3D Histopathology Reconstruction Supporting Mouse Microvasculature Analysis","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research; Cancer Care Ontario; Natural Sciences and Engineering Research Council of Canada; Heart and Stroke Foundation of Canada","keywords":"Histopathology; Pathology; Biology; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001198201,0.0008435912,0.0004402964,0.001408901,0.0002976263,0.000647663,0.0009410492,0.0006931442,0.003912357],"category_scores_gemma":[0.001457276,0.001047528,0.0007418154,0.000704012,0.0003279411,0.000466225,0.001081814,0.00102017,0.002598224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002622964,"about_ca_system_score_gemma":0.0007010972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006273313,"about_ca_topic_score_gemma":0.001284989,"domain_scores_codex":[0.9992687,0.0000898885,0.00006197183,0.0001299953,0.0004103593,0.00003903143],"domain_scores_gemma":[0.9991186,0.0001613911,0.000121214,0.0003265082,0.0002346969,0.00003752694],"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":[0.0001325422,0.00006397695,0.001001575,0.0002681691,0.0000455275,0.0003269485,0.0001726146,0.01260239,0.7648982,0.006096279,0.002825404,0.2115664],"study_design_scores_gemma":[0.00004928105,0.0003890372,0.006216841,0.0001237992,0.00009012764,0.003326195,0.00006350833,0.2898042,0.6103625,0.003972981,0.08538517,0.0002163396],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003955975,0.00005963085,0.9924871,0.00001990953,0.0000235699,0.00007061229,0.0001663717,0.002766176,0.00045069],"genre_scores_gemma":[0.02125708,0.000141085,0.9762018,0.00001525652,0.000008664539,0.0002502665,0.0003102374,0.0006209377,0.001194629],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003912357,"threshold_uncertainty_score":0.01308817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04906408346483134,"score_gpt":0.3172262163472931,"score_spread":0.2681621328824618,"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."}}