{"id":"W2895824610","doi":"10.1038/s41598-018-34105-3","title":"Locating human splenic capillary sheaths in virtual reality","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics","keywords":"Capillary action; CD34; Anatomy; Biology; Stromal cell; Pathology; Cell biology; Materials science; Medicine","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":[0.0004279202,0.0002552601,0.0001478431,0.0008279647,0.0001595409,0.0004691638,0.0002207968,0.0004330565,0.001829898],"category_scores_gemma":[0.0006581299,0.0002878639,0.0002238528,0.000248423,0.0002249026,0.0002533546,0.0005679709,0.0001816227,0.000384835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001579977,"about_ca_system_score_gemma":0.000250266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009407179,"about_ca_topic_score_gemma":0.001003467,"domain_scores_codex":[0.9998417,0.0000599979,0.000005393665,0.00003465147,0.0000346445,0.00002364655],"domain_scores_gemma":[0.9998465,0.00006641751,0.00002039495,0.00003009765,0.00001708491,0.00001957028],"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":[0.001507325,0.0001969653,0.01263181,0.0004352859,0.00006052994,0.002307816,0.001851088,0.02764568,0.8623996,0.001313499,0.000882306,0.08876809],"study_design_scores_gemma":[0.0002036549,0.003670814,0.1404481,0.0002730712,0.0003129048,0.03074264,0.003544305,0.3024014,0.4862924,0.004118133,0.02765315,0.0003394445],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9192091,0.0005980842,0.07811631,0.00008811942,0.00001525043,0.00006065052,0.0002145896,0.0003313725,0.001366587],"genre_scores_gemma":[0.9597965,0.0003021379,0.03871111,0.00002900746,0.000005408627,0.00005175333,0.0001168698,0.00002498471,0.00096222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001829898,"threshold_uncertainty_score":0.006121576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05183221609288385,"score_gpt":0.3467139967343051,"score_spread":0.2948817806414212,"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."}}