{"id":"W2638340149","doi":"10.1038/micronano.2015.20","title":"Voyage inside the cell: Microsystems and nanoengineering for intracellular measurement and manipulation","year":2015,"lang":"en","type":"article","venue":"Microsystems & Nanoengineering","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of New Brunswick","funders":"","keywords":"Intracellular; Cell; Organelle; Cell biology; Nanotechnology; Biology; Computational biology; Computer science; Materials science; Biochemistry","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":[0.0008792106,0.0004299759,0.0004207027,0.0001853178,0.0001590893,0.0002231728,0.0002075862,0.0002303285,5.759388e-7],"category_scores_gemma":[0.0000645988,0.0003600086,0.00006721169,0.000214266,0.00005775421,0.000164158,0.0001035272,0.0002247593,0.000005323493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002442451,"about_ca_system_score_gemma":0.00002359487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005790214,"about_ca_topic_score_gemma":0.00002225467,"domain_scores_codex":[0.9982879,0.00002230712,0.0005261403,0.0003624983,0.0002555808,0.0005456123],"domain_scores_gemma":[0.9992051,0.00005773069,0.0000708056,0.0003917085,0.0001338515,0.0001408755],"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":[0.000007405469,0.000007201138,0.0001563922,0.000835293,0.00004675565,0.000006352062,0.0004653432,0.004892021,0.9900937,0.0001234758,0.002276463,0.001089611],"study_design_scores_gemma":[0.001244533,0.0000898613,0.0002672034,0.0005119476,0.00008580085,0.0002821595,0.0009829233,0.09926749,0.7905002,0.00004138197,0.1059077,0.0008187396],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8148257,0.06096325,0.1199695,0.0001098706,0.001410758,0.001247041,0.00002646585,0.001357392,0.00009001987],"genre_scores_gemma":[0.9968598,0.0003419146,0.00231199,0.00001130414,0.0001910549,0.00007881295,0.00001016572,0.0001119009,0.00008308959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1995934,"threshold_uncertainty_score":0.9998852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02741759618455486,"score_gpt":0.1791711244706055,"score_spread":0.1517535282860507,"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."}}