{"id":"W4414923017","doi":"10.1002/advs.202510309","title":"A Programmable, 3D Neuron‐On‐Chip Platform Integrating Near Real‐Time Biosensing and Multiaxial Loading for Mechanobiological Injury Profiling","year":2025,"lang":"en","type":"article","venue":"Advanced Science","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Microfluidics; Biosensor; Biomarker; Polydimethylsiloxane; Biochip; Neuroprotection; Microelectromechanical systems; Structural integrity","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001465833,0.0003762912,0.0002559127,0.0001918876,0.0001966705,0.0003918484,0.0006887984,0.0003927767,0.001033227],"category_scores_gemma":[0.0001859424,0.0002168937,0.0002380362,0.0001005127,0.0002963208,0.0002402896,0.0004726698,0.0003877039,0.0003859817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004335153,"about_ca_system_score_gemma":0.0005764351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008625321,"about_ca_topic_score_gemma":0.002780852,"domain_scores_codex":[0.9998263,0.00001038359,0.000007430398,0.00005810106,0.00007335653,0.00002462334],"domain_scores_gemma":[0.9998932,0.0000192856,0.00002547191,0.00001966722,0.00002108327,0.00002120346],"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":[0.00002981636,0.00002893679,0.0003023588,0.00005407043,0.00001113012,0.00004965086,0.00002081873,0.001704987,0.9880745,0.00040325,0.0003588429,0.008961736],"study_design_scores_gemma":[0.00001273046,0.0002458376,0.002424507,0.000007563769,0.00002275585,0.0002301708,0.00002227177,0.02949473,0.9586104,0.0002014715,0.008683678,0.00004397786],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5849117,0.001287532,0.4023425,0.0003491335,0.0003562184,0.0002872923,0.001789945,0.003153289,0.005522529],"genre_scores_gemma":[0.6767216,0.0006598646,0.3164642,0.0002669771,0.00003639813,0.0004857819,0.0007450741,0.0000968553,0.004523257],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001033227,"threshold_uncertainty_score":0.003456473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02712102700790234,"score_gpt":0.3095303060747556,"score_spread":0.2824092790668532,"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."}}