{"id":"W2017649640","doi":"10.1101/pdb.prot070045","title":"Rabbit Ear Chambers","year":2012,"lang":"en","type":"article","venue":"Cold Spring Harbor Protocols","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"American Cancer Society; Cancer Research Society; National Heart, Lung, and Blood Institute; U.S. Army; National Foundation for Cancer Research; National Cancer Institute; National Institutes of Health; National Science Foundation","keywords":"Angiogenesis; Implant; Rabbit (cipher); Medicine; Wound healing; Human ear; Surgery; Biomedical engineering; Computer science; Internal medicine; Physics","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":[0.002809495,0.002245442,0.001240322,0.002203753,0.001199317,0.001470845,0.002235677,0.00228702,0.02972813],"category_scores_gemma":[0.001802377,0.001314861,0.001913288,0.0007061693,0.0009537871,0.001377729,0.001023854,0.002863613,0.01860094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000582052,"about_ca_system_score_gemma":0.001086711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005174549,"about_ca_topic_score_gemma":0.001526621,"domain_scores_codex":[0.9955682,0.0005345477,0.0005920545,0.001137901,0.001688621,0.0004786788],"domain_scores_gemma":[0.9979712,0.0004549682,0.0003178682,0.000691427,0.0003170741,0.000247384],"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":[0.00115793,0.0006716772,0.0004912284,0.00114327,0.00009172652,0.001152499,0.0003362127,0.0005764519,0.9243432,0.01195957,0.01444182,0.04363449],"study_design_scores_gemma":[0.0004707473,0.003213829,0.003312498,0.0004758657,0.0002838601,0.008153301,0.0001041851,0.001974822,0.4789453,0.002566971,0.5003427,0.0001558721],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.1430129,0.04952021,0.5672616,0.002666671,0.008902743,0.01635291,0.02630378,0.0191293,0.1668499],"genre_scores_gemma":[0.3015058,0.03174299,0.4073736,0.004640136,0.001057721,0.02373753,0.03130785,0.00167782,0.1969566],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.02972813,"threshold_uncertainty_score":0.09945047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02864359938253732,"score_gpt":0.2956609029920929,"score_spread":0.2670173036095556,"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."}}