{"id":"W1982236694","doi":"10.1073/pnas.050588497","title":"Clustering of connexin 43–enhanced green fluorescent protein gap junction channels and functional coupling in living cells","year":2000,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Connexins and lens biology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":275,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Institute of Neurological Disorders and Stroke; National Institute of General Medical Sciences","keywords":"Gap junction; Connexin; Green fluorescent protein; Coupling (piping); Fluorescence; Biophysics; Transfection; Cell biology; Fluorescence microscope; Biology; Electrophysiology; Chemistry; Cell culture; Biochemistry; Materials science; Gene; Intracellular; Optics; Neuroscience; Physics; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006746385,0.00007319674,0.0001126392,0.00007902828,0.00006668966,0.000006544543,0.000166106,0.00009300889,0.00002821535],"category_scores_gemma":[0.00009489911,0.00005558823,0.00003735363,0.0001874432,0.0003559003,0.00001707556,0.00008970603,0.00007506417,2.651403e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000952943,"about_ca_system_score_gemma":0.00002111808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002197682,"about_ca_topic_score_gemma":0.000001189453,"domain_scores_codex":[0.9991762,0.000005775078,0.0002491636,0.0002164453,0.0002395653,0.0001128294],"domain_scores_gemma":[0.9996594,0.00002324229,0.0001802321,0.000008058795,0.0001106025,0.00001850648],"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":[0.00005720284,0.00002579247,0.001264129,0.00004959966,0.000006924283,2.094426e-9,0.00005900805,0.001522739,0.9957549,0.00037018,0.00001718642,0.0008723402],"study_design_scores_gemma":[0.0002087076,0.0001261508,0.0237021,0.0001514991,0.000003865726,0.000003008912,0.000124075,0.01010569,0.9645693,0.0008399248,0.00008980196,0.00007585598],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987729,0.0001469646,0.00001555409,0.0003033048,0.00001939153,0.0001618329,0.000004081473,0.000002079253,0.0005739069],"genre_scores_gemma":[0.999328,0.00006276336,0.0002575949,0.00005855829,0.0000825964,0.000009735307,3.32356e-7,0.000002957095,0.0001975018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03118558,"threshold_uncertainty_score":0.2266822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02813050988083392,"score_gpt":0.2611629400983151,"score_spread":0.2330324302174812,"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."}}