{"id":"W2603682730","doi":"10.1007/978-1-4939-6810-7_1","title":"Introduction to Modern Methods in Light Microscopy","year":2017,"lang":"en","type":"review","venue":"Methods in molecular biology","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Research in Immunology and Cancer; Université de Montréal","funders":"","keywords":"Microscopy; Optical microscope; Nanotechnology; Resolution (logic); Key (lock); Computer science; Optics; Materials science; Physics; Artificial intelligence","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":[0.001775588,0.001895006,0.001912436,0.00418115,0.0008440402,0.002368738,0.002599256,0.002574624,0.01537088],"category_scores_gemma":[0.00274715,0.0009160942,0.001143521,0.003990673,0.002664419,0.004340401,0.002320717,0.00715329,0.0106507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001584468,"about_ca_system_score_gemma":0.002396379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001311708,"about_ca_topic_score_gemma":0.001537553,"domain_scores_codex":[0.9990808,0.0001351973,0.0001043879,0.0001564996,0.0004538472,0.00006935267],"domain_scores_gemma":[0.998072,0.00116064,0.0001030764,0.0001173477,0.0004481921,0.00009874342],"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":[0.00006586069,0.00007874903,0.0001229801,0.0138306,0.00004636159,0.0002141923,0.0001376682,0.0005266969,0.006388129,0.0396837,0.1384456,0.8004594],"study_design_scores_gemma":[0.000005567963,0.00001633701,0.0001396236,0.001102781,0.00001702017,0.0003515893,0.00001478182,0.0001206049,0.0008730546,0.008874898,0.9884609,0.0000228757],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001106364,0.9696464,0.01403302,0.001779447,0.005675767,0.00004180874,0.0001393244,0.000243128,0.008330324],"genre_scores_gemma":[0.001316198,0.970188,0.01135197,0.002311383,0.005537939,0.00009005663,0.0002065922,0.00009779332,0.008899976],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01537088,"threshold_uncertainty_score":0.05142069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04810681158246201,"score_gpt":0.530163421525233,"score_spread":0.482056609942771,"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."}}