{"id":"W3043375436","doi":"10.1371/journal.pcbi.1007857","title":"Towards optogenetic vision restoration with high resolution","year":2020,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; Horizon 2020 Framework Programme; European Research Council; National Institutes of Health; Agence Nationale de la Recherche; Foundation Fighting Blindness; Alliance Nationale pour les Sciences de la Vie et de la Santé","keywords":"Optogenetics; Neuroscience; Retina; Receptive field; Population; Channelrhodopsin; Retinal ganglion cell; Biology; Axon; Photic Stimulation; Medicine; Visual perception","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001944099,0.0004206805,0.0004190289,0.0001632806,0.0001259402,0.0005434976,0.0005476001,0.0007582612,0.0007521875],"category_scores_gemma":[0.0004618898,0.0003298708,0.0006950433,0.0001668208,0.0004660397,0.0004303893,0.0004344045,0.0007870083,0.0002891628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006923041,"about_ca_system_score_gemma":0.0003519133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00154165,"about_ca_topic_score_gemma":0.0006012374,"domain_scores_codex":[0.9998804,0.00002132265,0.000005681078,0.00002343301,0.00004833035,0.00002080769],"domain_scores_gemma":[0.9999088,0.00003664107,0.0000229177,0.0000146828,0.000008621661,0.000008406078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001058011,0.000110995,0.0006201398,0.0002566365,0.00006217686,0.000272229,0.0001627668,0.5335898,0.4044237,0.04057137,0.0008349398,0.01898941],"study_design_scores_gemma":[0.00002002537,0.00008520995,0.000415954,0.00001970564,0.00002339672,0.0002296458,0.00002111827,0.9188649,0.0619858,0.01177302,0.006534174,0.00002707185],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2296631,0.002303056,0.7567375,0.000749864,0.00009029362,0.00009160173,0.0002086249,0.00106926,0.009086748],"genre_scores_gemma":[0.8775213,0.001642649,0.1160021,0.0002213394,0.00001834932,0.0001427706,0.0001226671,0.0001415474,0.00418732],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00154165,"threshold_uncertainty_score":0.005023062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07445428530143962,"score_gpt":0.3263954801850499,"score_spread":0.2519411948836103,"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."}}