{"id":"W2063412773","doi":"10.1039/c004706f","title":"In situ mechanical characterization of mouse oocytes using a cell holding device","year":2010,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Microinjection; Oocyte; In situ; Characterization (materials science); Stiffness; Cell biology; Biophysics; Deformation (meteorology); Process (computing); Biomedical engineering; Cell; Biological system; Materials science; Chemistry; Computer science; Biology; Nanotechnology; Engineering; Composite material; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002244335,0.0002872052,0.0002311687,0.0002526565,0.0002733766,0.0002768222,0.000426304,0.0003901242,0.0007963887],"category_scores_gemma":[0.0003158892,0.0001514141,0.000151848,0.0001285015,0.0002680493,0.0002523736,0.0002020491,0.0003662999,0.0001815932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002798981,"about_ca_system_score_gemma":0.0002048772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008738513,"about_ca_topic_score_gemma":0.001839384,"domain_scores_codex":[0.9998112,0.00001455484,0.00001368992,0.00005532613,0.00008327906,0.00002184128],"domain_scores_gemma":[0.999708,0.00009657626,0.00007112311,0.00004329934,0.00005189097,0.00002908361],"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":[0.000003690493,0.000003629818,0.00008564528,0.000006851541,8.775417e-7,0.00001670653,0.000008903445,0.0000251454,0.9992822,0.00003891002,0.0000063489,0.0005211734],"study_design_scores_gemma":[0.000005014238,0.0001325646,0.004645765,0.00000262017,0.000007715818,0.0001666099,0.00003074943,0.001396144,0.9921033,0.00005133487,0.001451384,0.000006840532],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8844944,0.001126884,0.1108612,0.0002676456,0.00007971741,0.0001435115,0.0005153475,0.0001919085,0.002319257],"genre_scores_gemma":[0.9185508,0.001084154,0.07646016,0.0001260556,0.00004046951,0.0001762601,0.0003541879,0.0000539532,0.003153973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008738513,"threshold_uncertainty_score":0.002664149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01352785589140125,"score_gpt":0.2550069231757278,"score_spread":0.2414790672843265,"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."}}