{"id":"W1982728755","doi":"10.1119/1.4900756","title":"What is superresolution microscopy?","year":2014,"lang":"en","type":"article","venue":"American Journal of Physics","topic":"Near-Field Optical Microscopy","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Superresolution; Diffraction; Resolution (logic); Limit (mathematics); Optics; Microscopy; Image resolution; Scaling; sort; Computer science; Nonlinear system; Physics; Image (mathematics); Mathematics; Artificial intelligence; Quantum mechanics; Mathematical analysis; Information retrieval","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":[0.007591777,0.0004011945,0.001640931,0.001771412,0.001902433,0.004297055,0.00139208,0.003988219,0.0034911],"category_scores_gemma":[0.01178891,0.0004708823,0.0007160201,0.001529098,0.009352395,0.01354509,0.002414958,0.005069069,0.001299164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001958491,"about_ca_system_score_gemma":0.00173813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00179799,"about_ca_topic_score_gemma":0.000983806,"domain_scores_codex":[0.9968724,0.0009848473,0.0001228849,0.000501054,0.001264863,0.0002540138],"domain_scores_gemma":[0.9938182,0.00336995,0.0004508157,0.0007900919,0.001061133,0.0005098366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000145261,0.00007539665,0.002060837,0.003188795,0.000227739,0.0005212639,0.001335245,0.001259331,0.00607167,0.6559997,0.07984786,0.2492669],"study_design_scores_gemma":[0.00001942775,0.00005834239,0.001132401,0.001196393,0.00005768567,0.001123504,0.000908983,0.001544274,0.002615777,0.6035454,0.3877115,0.0000863125],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.00797356,0.6136524,0.06532275,0.2707936,0.01094786,0.00004834214,0.0002279555,0.0006448514,0.03038876],"genre_scores_gemma":[0.2653382,0.5417024,0.0462781,0.09432655,0.04164667,0.0001771368,0.0003896872,0.0004099925,0.009731172],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007591777,"threshold_uncertainty_score":0.04014969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004682875415313655,"score_gpt":0.233743519477606,"score_spread":0.2290606440622923,"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."}}