{"id":"W4213363834","doi":"10.1002/smll.202103364","title":"Nanophotonics Enable Targeted Photothermal Silencing of Nociceptor Neurons","year":2022,"lang":"en","type":"article","venue":"Small","topic":"Olfactory and Sensory Function Studies","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Hôpital Maisonneuve-Rosemont","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Health Canada; Azrieli Foundation; Canada Excellence Research Chairs, Government of Canada; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada","keywords":"Nociceptor; Transient receptor potential channel; TRPV1; Neuroscience; Gene silencing; Cell biology; Nanotechnology; Chemistry; Nociception; Materials science; Biology; Receptor","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001185461,0.0001056761,0.0001573546,0.00006646997,0.0004752458,0.000009379938,0.0001900832,0.0000200316,0.002252423],"category_scores_gemma":[0.0001668234,0.0001052941,0.00008199138,0.0002599013,0.00007302609,0.00005734566,0.0001671646,0.0001976761,0.0000392973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003693833,"about_ca_system_score_gemma":0.00004824959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002463335,"about_ca_topic_score_gemma":0.000004927361,"domain_scores_codex":[0.9989046,0.0001691686,0.0001897589,0.0002795997,0.0002221902,0.0002346137],"domain_scores_gemma":[0.9994609,0.0001575222,0.0001098603,0.0002057676,0.00002406568,0.00004192791],"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":[0.00005718157,0.00006822152,0.0002998952,0.00001265104,0.000004662976,0.00001186811,0.001150934,0.001136181,0.9964962,0.0001947024,0.0004851342,0.00008236377],"study_design_scores_gemma":[0.0002909996,0.0002063687,0.000357465,0.000002124747,0.000009233154,0.00001158116,0.001070857,0.0006012103,0.9373536,0.00004932243,0.05991796,0.0001292825],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910969,0.00006016891,0.00001247065,0.00007870117,0.0009763006,0.0001559818,0.00006531015,0.00007732947,0.00747689],"genre_scores_gemma":[0.9944534,0.00001168188,0.00008226195,0.0008368716,0.00002512718,0.00003067992,0.000001336291,0.00001737313,0.004541267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05943282,"threshold_uncertainty_score":0.9986597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1070250116230867,"score_gpt":0.2329326342655416,"score_spread":0.1259076226424549,"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."}}