{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008238821,0.0001738654,0.0001824032,0.0000851185,0.00009432621,0.00009759127,0.0003484719,0.0001309832,0.0002703586],"category_scores_gemma":[0.0002377841,0.000176455,0.00006585535,0.0002183187,0.00007914081,0.0001928035,0.0001392116,0.0004147563,0.001022369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001435892,"about_ca_system_score_gemma":0.00003752419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001495224,"about_ca_topic_score_gemma":8.35549e-7,"domain_scores_codex":[0.9982624,0.00003704805,0.0002395952,0.0001710925,0.0004529197,0.0008369239],"domain_scores_gemma":[0.9989731,0.00009508827,0.00002529262,0.0004652168,0.00003902099,0.0004022897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008089776,0.0005274968,0.1653554,0.003233336,0.0003204058,0.00005934869,0.0008338602,0.001286921,0.748077,0.05854244,0.0113484,0.01033445],"study_design_scores_gemma":[0.0006767006,0.00004839946,0.06850336,0.0003043108,0.000006368769,9.951558e-7,0.000005092556,0.005028576,0.150711,0.00002315242,0.7742369,0.0004551343],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6930235,0.0007677279,0.0120776,0.0005276175,0.001842051,0.2377831,0.00001785611,0.00687483,0.04708572],"genre_scores_gemma":[0.9182147,0.00000468475,0.004819685,0.0000434951,0.0004021557,0.07626034,2.020004e-7,0.00008513832,0.0001695492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7628886,"threshold_uncertainty_score":0.9997554,"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."}}