{"id":"W4297796604","doi":"10.1364/cleo_at.2022.jth6a.7","title":"Implantable Neural Probe System for Patterned Photostimulation and Electrophysiology Recording","year":2022,"lang":"en","type":"article","venue":"Conference on Lasers and Electro-Optics","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital; Ontario Brain Institute; University Health Network; University of Toronto","funders":"","keywords":"Photostimulation; Electrophysiology; Materials science; Wafer; Electrode; Optoelectronics; Computer science; Biomedical engineering; Neuroscience; Chemistry; Engineering","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":[0.0002159916,0.0003696576,0.0002691869,0.0002158304,0.0001958806,0.0003394338,0.0009357763,0.0005366323,0.002566471],"category_scores_gemma":[0.0002477241,0.000240538,0.0002126536,0.0001244583,0.0003074993,0.0005092856,0.0004847294,0.0004194013,0.000588909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003250132,"about_ca_system_score_gemma":0.0004047774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002336719,"about_ca_topic_score_gemma":0.0004481646,"domain_scores_codex":[0.9998318,0.00001041571,0.00001203689,0.00005844694,0.00006908612,0.00001818425],"domain_scores_gemma":[0.9998453,0.00003671454,0.00003833081,0.00003091373,0.00002722433,0.00002149147],"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":[0.00002174621,0.00001828298,0.00009367947,0.00003187797,0.000003236046,0.00003814184,0.00001295228,0.0001073544,0.9951828,0.0002081304,0.0001205404,0.004161289],"study_design_scores_gemma":[0.00002058715,0.0003812066,0.002442517,0.000006961086,0.00002314296,0.0004179597,0.00001649306,0.003867673,0.9879074,0.0001725851,0.004726396,0.00001708331],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4476374,0.001380621,0.5394787,0.0005613741,0.0005106339,0.0004694222,0.001031258,0.002977983,0.005952636],"genre_scores_gemma":[0.6851651,0.0006415812,0.3061321,0.0003603096,0.00007075768,0.0006268834,0.0004850966,0.0001149294,0.006403327],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002566471,"threshold_uncertainty_score":0.008585632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04808507079778322,"score_gpt":0.2922499597042752,"score_spread":0.244164888906492,"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."}}