{"id":"W214293356","doi":"","title":"Light Microscopy Research Group (LMRG): International Test Results for Objective Lens Quality, Resolution, Spectral Accuracy and Spectral Separation for Confocal Laser Scanning Microscopes (CLSM)","year":2013,"lang":"en","type":"article","venue":"Europe PMC (PubMed Central)","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal; Polytechnique Montréal","funders":"","keywords":"Microscope; Lens (geology); Reproducibility; Spectral resolution; Resolution (logic); Optics; Computer science; Quality (philosophy); Consistency (knowledge bases); Image quality; Detector; Data quality; Spectral imaging; Artificial intelligence; Mathematics; Physics; Spectral line; Statistics; Image (mathematics)","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":[0.05906886,0.002310108,0.001340081,0.00900385,0.001979415,0.002176503,0.003401005,0.00299799,0.009817556],"category_scores_gemma":[0.04415631,0.0008084378,0.001505294,0.00424282,0.002308708,0.002226016,0.002387639,0.001500753,0.008096698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003352822,"about_ca_system_score_gemma":0.00401407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005014208,"about_ca_topic_score_gemma":0.005191102,"domain_scores_codex":[0.9540995,0.0148272,0.007121199,0.004621928,0.01712744,0.002202765],"domain_scores_gemma":[0.9138379,0.01708049,0.009868789,0.01084035,0.0452728,0.00309969],"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":[0.006676287,0.004996655,0.3009706,0.002872807,0.0007067815,0.0007786356,0.003835502,0.004499722,0.3210196,0.007483536,0.05490095,0.2912589],"study_design_scores_gemma":[0.0004517629,0.01166523,0.2376775,0.0005959657,0.0007100044,0.001704472,0.001296375,0.005597486,0.6607841,0.0009382418,0.07835282,0.000226066],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5972746,0.00790901,0.1948296,0.00467311,0.0009436958,0.009437021,0.02186722,0.009672512,0.1533933],"genre_scores_gemma":[0.6438292,0.00157113,0.2841669,0.001773247,0.0001815256,0.00570738,0.03182712,0.002875943,0.02806753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05906886,"threshold_uncertainty_score":0.3123897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.030637058281077,"score_gpt":0.3125851734925834,"score_spread":0.2819481152115064,"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."}}