{"id":"W2419221128","doi":"10.1007/978-1-59745-519-0_31","title":"Near-Field Scanning Optical Microscopy to Identify Membrane Microdomains","year":2007,"lang":"en","type":"review","venue":"Methods in molecular biology","topic":"Lipid Membrane Structure and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Steacie Institute for Molecular Sciences; Carleton University","funders":"","keywords":"Near-field scanning optical microscope; Membrane; Optical microscope; Microscopy; Resolution (logic); Materials science; Lipid raft; Nanoscopic scale; Monolayer; Nanotechnology; Chemistry; Optics; Scanning electron microscope; Physics; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008427262,0.001371894,0.001139108,0.003187389,0.0003794249,0.000965455,0.001459456,0.001708931,0.004213345],"category_scores_gemma":[0.0005107207,0.0004155096,0.0004136805,0.002505566,0.0009532846,0.001963463,0.0008309567,0.002160392,0.008335168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001136662,"about_ca_system_score_gemma":0.0006694959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001275412,"about_ca_topic_score_gemma":0.00200619,"domain_scores_codex":[0.9997401,0.00003685323,0.0000135117,0.00005955231,0.0001289885,0.0000210494],"domain_scores_gemma":[0.9997372,0.00009844037,0.00002213081,0.00002116252,0.00009527792,0.00002578624],"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":[0.00002468254,0.00008456555,0.0002398641,0.004214318,0.00005812665,0.0002538437,0.00006339976,0.0004782909,0.01841833,0.01245474,0.03308392,0.9306259],"study_design_scores_gemma":[0.000008377583,0.00004178355,0.0005514647,0.0006711769,0.00002321935,0.001561872,0.00003993018,0.0002334432,0.005431773,0.003446119,0.987967,0.00002393599],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004065708,0.9846638,0.004657638,0.0004275532,0.0004589508,0.00002592605,0.00003570176,0.00006697969,0.009256907],"genre_scores_gemma":[0.00272416,0.9837711,0.00471335,0.00061053,0.0002546636,0.00004807831,0.00009405487,0.00001430972,0.007769814],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004213345,"threshold_uncertainty_score":0.01409501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04417178850588987,"score_gpt":0.4911178872146983,"score_spread":0.4469460987088085,"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."}}