{"id":"W2903544824","doi":"10.1016/bs.mcb.2018.10.010","title":"Analysis of neural activity with fluorescent protein biosensors","year":2018,"lang":"en","type":"review","venue":"Methods in cell biology","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Confocal; Fluorescence; Optogenetics; Cytoplasm; Calcium imaging; Cell biology; Fluorescent protein; Calcium; Green fluorescent protein; Neural activity; Effector; Anatomy; Neuroscience; Biochemistry; Internal medicine; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001118293,0.001437111,0.001091169,0.002108829,0.0001872248,0.001124727,0.001335368,0.001487667,0.001668519],"category_scores_gemma":[0.001139023,0.0004238963,0.0004738042,0.001513925,0.001154222,0.002060353,0.0009233794,0.002260982,0.001935587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000833648,"about_ca_system_score_gemma":0.0008331187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005894079,"about_ca_topic_score_gemma":0.0009266964,"domain_scores_codex":[0.9996521,0.00003773832,0.0000396803,0.00008555354,0.0001541452,0.00003071626],"domain_scores_gemma":[0.9993991,0.000335514,0.00007006668,0.00002525816,0.0001337202,0.0000363843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006465442,0.0000634564,0.0002296406,0.007826171,0.00005862062,0.0001900375,0.0000509228,0.0003190525,0.01818714,0.01050118,0.01694385,0.9455654],"study_design_scores_gemma":[0.00001743633,0.00008329649,0.0008079046,0.001832001,0.0001101187,0.001667159,0.00005846723,0.0004272931,0.02231194,0.007576089,0.9650546,0.00005368182],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002893958,0.9912185,0.00459921,0.0005346812,0.0006795293,0.00001072564,0.00004285997,0.00003641008,0.002588611],"genre_scores_gemma":[0.002325995,0.9906954,0.002832609,0.0004322674,0.0005509166,0.0000261366,0.0000737805,0.00001018575,0.003052872],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002108829,"threshold_uncertainty_score":0.00604856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2127599650916159,"score_gpt":0.5053240587373519,"score_spread":0.2925640936457359,"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."}}