{"id":"W2071017658","doi":"10.1529/biophysj.105.061788","title":"Fluctuation Correlation Spectroscopy with a Laser-Scanning Microscope: Exploiting the Hidden Time Structure","year":2005,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":218,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"National Center for Research Resources; National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Spectroscopy; Microscope; Materials science; Laser; Analytical Chemistry (journal); Optics; Chemistry; Physics; Chromatography","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":[0.000436708,0.0002771864,0.0003215328,0.0003609467,0.0002748558,0.00042038,0.0006252272,0.0005393719,0.0007244135],"category_scores_gemma":[0.001071485,0.0002327399,0.0001980078,0.0004687166,0.0005706683,0.001008885,0.0004571782,0.0006766362,0.0001285948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004084574,"about_ca_system_score_gemma":0.0005377664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007983574,"about_ca_topic_score_gemma":0.001504381,"domain_scores_codex":[0.999809,0.00004287675,0.000007332934,0.00004438385,0.00007818932,0.00001818052],"domain_scores_gemma":[0.9995796,0.0001948325,0.00005328091,0.00008364081,0.00004644461,0.00004214353],"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":[0.0002374354,0.00009092846,0.001704121,0.000124755,0.00003153912,0.0002405896,0.0001423904,0.008125086,0.900632,0.02517238,0.0007824538,0.0627162],"study_design_scores_gemma":[0.0000404472,0.0002164794,0.004249119,0.0000186947,0.00002729803,0.0004527105,0.00003107444,0.7179438,0.2640396,0.01104203,0.001859932,0.00007882806],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3656392,0.0007653601,0.6285552,0.0006262329,0.000144515,0.00008428533,0.0001646058,0.0008459646,0.003174645],"genre_scores_gemma":[0.8582156,0.00055566,0.1396432,0.0001546191,0.00007999517,0.00006406233,0.00006282972,0.00006719541,0.001156749],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007983574,"threshold_uncertainty_score":0.002963543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004761372737628841,"score_gpt":0.2226497662546694,"score_spread":0.2178883935170406,"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."}}