{"id":"W2400096919","doi":"10.1016/j.ab.2016.05.008","title":"A model system using confocal fluorescence microscopy for examining real-time intracellular sodium ion regulation","year":2016,"lang":"en","type":"article","venue":"Analytical Biochemistry","topic":"Ion Transport and Channel Regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Athabasca University; University of Alberta","funders":"Royal Society Te Apārangi; Alberta Innovates; Royal Society","keywords":"Confocal microscopy; Confocal; Fluorescence; Fluorescence microscope; Sodium; Intracellular; Biophysics; Chemistry; Microscopy; Ion; Biological system; Biology; Biochemistry; Cell biology; Optics; Physics","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":[0.0003299913,0.0004874408,0.000814702,0.0002842693,0.001057435,0.0008077571,0.001148398,0.001092569,0.00175732],"category_scores_gemma":[0.0003758843,0.0003629729,0.0005613666,0.0003677672,0.0005353173,0.0009214156,0.0005317706,0.001012295,0.001122493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001762513,"about_ca_system_score_gemma":0.001361688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004898623,"about_ca_topic_score_gemma":0.006157093,"domain_scores_codex":[0.9996785,0.00004295956,0.00001858664,0.0001469729,0.00007866743,0.00003437915],"domain_scores_gemma":[0.9997249,0.00006571334,0.00002893526,0.0000725505,0.00005916161,0.00004870198],"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":[0.00007883768,0.00002967845,0.000155892,0.00004666289,0.000006885882,0.00004711853,0.00002049809,0.0007850358,0.9949096,0.001740401,0.0004129875,0.001766487],"study_design_scores_gemma":[0.00004641754,0.0002561784,0.001146243,0.00000816711,0.00004162786,0.0004034177,0.00002575842,0.04302455,0.9412717,0.0013545,0.01237012,0.00005132072],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5517817,0.001109683,0.4329831,0.001493138,0.0004302328,0.0003466639,0.002130054,0.004032626,0.005692835],"genre_scores_gemma":[0.6829404,0.001279072,0.3001516,0.0003527293,0.00006715993,0.0008425976,0.00193727,0.0004281047,0.01200099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004898623,"threshold_uncertainty_score":0.01278794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0199994254657954,"score_gpt":0.2587245052568181,"score_spread":0.2387250797910227,"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."}}