{"id":"W2344335115","doi":"10.1126/science.aad7983","title":"Comment on “Extended-resolution structured illumination imaging of endocytic and cytoskeletal dynamics”","year":2016,"lang":"en","type":"letter","venue":"Science","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut Universitaire en Santé Mentale de Québec","funders":"","keywords":"Resolution (logic); Reliability (semiconductor); Computer science; Dynamics (music); Superresolution; Image resolution; Endocytic cycle; Microscopy; Temporal resolution; Artificial intelligence; Computer vision; Image (mathematics); Optics; Chemistry; Physics; Cell; Endocytosis","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":[],"consensus_categories":[],"category_scores_codex":[0.0002007926,0.0001838794,0.0001435363,0.0001449451,0.0001082062,0.0000239063,0.0003675434,0.0001553164,0.000003441264],"category_scores_gemma":[0.0001011334,0.0001518749,0.00004040996,0.0001011444,0.001269841,0.00001211916,0.0002045612,0.000222006,0.000001129218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001555761,"about_ca_system_score_gemma":0.000107749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004752465,"about_ca_topic_score_gemma":0.000002427496,"domain_scores_codex":[0.9986444,0.0000329509,0.0001771378,0.000535556,0.0002937808,0.0003162306],"domain_scores_gemma":[0.9992332,0.00001364819,0.0001868536,0.000402519,0.0001303566,0.00003345761],"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":[0.00001210458,0.000006091173,0.0000788285,0.00003597888,0.000004200061,0.000005122574,0.00001141793,0.000001266682,0.9632677,0.0002193823,0.02462832,0.01172951],"study_design_scores_gemma":[0.000212379,0.0002345767,0.0003243308,0.0001471654,0.0000114647,0.00002599571,0.00001652218,0.0004620918,0.8974937,0.001271347,0.09950533,0.0002951596],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03697268,0.001546726,0.3470996,0.6074476,0.001650541,0.002235031,0.0009700793,0.0001740189,0.001903772],"genre_scores_gemma":[0.7097616,0.0003957539,0.03553179,0.2519148,0.001211268,0.00006243639,0.0005849654,0.00009071143,0.0004467552],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.6727889,"threshold_uncertainty_score":0.6193278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004510725570941236,"score_gpt":0.2659450146997813,"score_spread":0.2614342891288401,"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."}}