{"id":"W4391753540","doi":"10.1364/boe.521511","title":"Novel Techniques in Microscopy: introduction to the feature issue","year":2024,"lang":"en","type":"article","venue":"Biomedical Optics Express","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Microscopy; Feature (linguistics); Computer science; Data science; Optics; Physics; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001955898,0.0001224657,0.0001096686,0.0001859173,0.00002991197,0.00007118034,0.0002705946,0.0001985264,0.00001006708],"category_scores_gemma":[0.00008075704,0.00008658476,0.00002766252,0.0005163975,0.00007671046,0.000042388,0.00007081041,0.0004365559,0.00004266964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007500946,"about_ca_system_score_gemma":0.00001581602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009372141,"about_ca_topic_score_gemma":0.000002167468,"domain_scores_codex":[0.9992603,0.000007058447,0.0001368562,0.0002034394,0.000126595,0.0002657669],"domain_scores_gemma":[0.9996482,0.00003908157,0.000005880878,0.000249547,0.00001339581,0.00004386021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001499699,0.00001066472,6.365207e-7,0.0000448172,0.00000774955,0.000004988166,0.0001388957,0.00000759583,0.6749002,0.0002740506,0.2964587,0.02815027],"study_design_scores_gemma":[0.00002315831,0.0000228216,0.0000042256,0.00006834786,0.000003486511,0.00001418621,0.00004130043,0.0002510925,0.4343963,0.00003928418,0.5650672,0.00006856052],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1116363,0.04538829,0.5503059,0.2627384,0.01024959,0.001695605,0.0001524702,0.01585466,0.001978838],"genre_scores_gemma":[0.7211716,0.004640215,0.2546307,0.001188535,0.01193603,0.0005862006,0.0001203517,0.000290985,0.005435398],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6095354,"threshold_uncertainty_score":0.3530824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00506317743503464,"score_gpt":0.241274311227078,"score_spread":0.2362111337920434,"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."}}