{"id":"W2889466732","doi":"10.1101/402719","title":"Implantable electrical stimulation bioreactor with liquid crystal polymer based electrodes for enhanced bone regeneration at mandibular large defects in rabbit","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Planarian Biology and Electrostimulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"College of Engineering, Seoul National University; Defense Acquisition Program Administration; Seoul National University","keywords":"Stimulation; Bioreactor; Regeneration (biology); Biomedical engineering; Bone healing; Materials science; Dentistry; Bone morphogenetic protein; Medicine; Chemistry; Anatomy; Biology; Cell biology; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004877292,0.0005259867,0.0004831512,0.0002579275,0.0002386881,0.00006243446,0.0002114684,0.001051281,0.00001498475],"category_scores_gemma":[0.0001169513,0.0005237682,0.0001219192,0.0002779554,0.00007281196,0.00001863763,0.0001118318,0.0003183384,0.000007631752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002635522,"about_ca_system_score_gemma":0.0005661116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001757429,"about_ca_topic_score_gemma":0.00008004183,"domain_scores_codex":[0.997237,0.0001707552,0.0004448994,0.001126518,0.0001935291,0.0008272584],"domain_scores_gemma":[0.9985019,0.00004890412,0.0003580456,0.0006347875,0.0003109884,0.0001453767],"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":[0.003814969,0.0001535902,0.005879773,0.00008103582,0.00009780611,0.000007104228,0.000002257525,0.0005378766,0.9885655,0.00006030775,0.0007993621,3.938152e-7],"study_design_scores_gemma":[0.002097438,0.00139304,0.01042345,0.00008270906,0.0001006616,1.880241e-7,1.78959e-7,0.002583328,0.9812754,0.000002315077,0.001387638,0.0006537012],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9544019,0.001025363,0.0427773,0.0001137119,0.0001685925,0.00107826,0.0003548699,0.00007497244,0.000005087539],"genre_scores_gemma":[0.9972044,0.00007127949,0.001135019,0.0003696225,0.000562059,0.000332382,0.0002126366,0.00009933283,0.0000132619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04280257,"threshold_uncertainty_score":0.9997214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006393015762445615,"score_gpt":0.2132679239800656,"score_spread":0.20687490821762,"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."}}