{"id":"W3012104409","doi":"10.1017/s1551929520000024","title":"Fast Analysis of 2D and 3D Single-Molecule Localization Microscopy Data with Huygens Localizer","year":2020,"lang":"en","type":"article","venue":"Microscopy Today","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"European Molecular Biology Laboratory; Erasmus Medisch Centrum; Helsingin Yliopisto","keywords":"Microscopy; Molecule; Materials science; Physics; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001221854,0.0003239845,0.0004588558,0.0001163226,0.0001000726,0.00005539693,0.0005467594,0.0002021964,0.00003693447],"category_scores_gemma":[0.00006896636,0.0003010885,0.00006917424,0.0006909907,0.0003869175,0.00002340929,0.0005055753,0.0001260185,0.00000347425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002086801,"about_ca_system_score_gemma":0.00007565066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003571211,"about_ca_topic_score_gemma":0.00007191858,"domain_scores_codex":[0.9980419,0.00007029252,0.0004016666,0.0009539737,0.0001764449,0.0003557504],"domain_scores_gemma":[0.9984696,0.00001306675,0.000225393,0.0009768609,0.0001527532,0.0001623157],"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":[0.0002502676,0.00009196603,0.01063013,0.00005450116,0.0003245119,0.000004833853,0.0001571321,0.0004190851,0.9857348,0.000007876922,0.001910238,0.0004146729],"study_design_scores_gemma":[0.0004170036,0.0006998854,0.0001901825,0.00004138575,0.0004375943,0.000005337523,0.0001082835,0.003183298,0.9832783,0.000003127901,0.01129103,0.0003445095],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1959425,0.001235802,0.8016316,0.0001660114,0.00002879294,0.0003071638,0.0005013513,0.00005510682,0.0001317199],"genre_scores_gemma":[0.7832491,0.0004433693,0.2106731,0.002066103,0.00009475691,0.00001867291,0.003214604,0.000111815,0.0001285277],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5909585,"threshold_uncertainty_score":0.9999442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01546684996024059,"score_gpt":0.2897695450387267,"score_spread":0.2743026950784861,"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."}}