{"id":"W4385612231","doi":"10.1101/2023.08.03.551752","title":"An adaptable, reusable, and light implant for chronic Neuropixels probes","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Centre","funders":"Biotechnology and Biological Sciences Research Council; Medical Research Council; Directorate for Biological Sciences; National Institutes of Health; European Commission; Josiah Macy Jr. Foundation; European Molecular Biology Organization; Wellcome Trust; GlaxoSmithKline","keywords":"Implant; Computer science; Nanotechnology; Materials science; Medicine; Surgery","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":[0.0007603505,0.0006641629,0.0006431229,0.0004444064,0.000445946,0.0007101786,0.001343499,0.0005033815,0.0000299672],"category_scores_gemma":[0.0008364955,0.000670826,0.0001434158,0.0006307691,0.0002149764,0.0002482581,0.001021972,0.0008681474,0.00007543355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002575789,"about_ca_system_score_gemma":0.0009943196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005213351,"about_ca_topic_score_gemma":0.00001198389,"domain_scores_codex":[0.9951636,0.0002899396,0.0005661654,0.0021016,0.000650913,0.001227755],"domain_scores_gemma":[0.9967465,0.000305171,0.0002700733,0.001743345,0.0003235575,0.0006113151],"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":[0.00006103377,0.000106846,0.0004784097,0.0006786716,0.00002485158,0.00006341785,0.00000974211,0.0001108408,0.9967509,0.00058124,0.00112918,0.00000488258],"study_design_scores_gemma":[0.000539338,0.0003917245,0.005790652,0.0002232176,0.00004478845,9.305164e-8,0.000001190145,0.004740761,0.9668615,0.00001855824,0.02062244,0.0007657003],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988781,0.000996482,0.001227627,0.0004353972,0.002580072,0.003368388,0.001655451,0.0009397735,0.00001585612],"genre_scores_gemma":[0.9936013,0.002281689,0.001566877,0.0001816737,0.0008699289,0.001121387,7.880613e-7,0.0003213542,0.00005497578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02988935,"threshold_uncertainty_score":0.9995743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04984554037194357,"score_gpt":0.2889187029427386,"score_spread":0.239073162570795,"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."}}