{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009512917,0.00007971803,0.00008879128,0.00005122459,0.00002530162,0.00001195336,0.00008554763,0.0001098271,0.00004148407],"category_scores_gemma":[0.00003743471,0.00008052822,0.00004562893,0.00007263319,0.000008187368,0.000005438845,0.00004510312,0.0001354272,0.000004856591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006952971,"about_ca_system_score_gemma":0.00002389655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001846092,"about_ca_topic_score_gemma":0.00008046125,"domain_scores_codex":[0.9994809,0.00002330575,0.0001498564,0.0001724973,0.0000623805,0.0001110699],"domain_scores_gemma":[0.9996552,0.000006641791,0.00007686209,0.0001922341,0.00003497923,0.00003402013],"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":[0.00003309092,0.0001020278,0.00004518415,0.000009461065,0.000004328506,0.000001115109,0.00002047632,0.000005615113,0.998899,0.0007570026,0.000006014984,0.0001166766],"study_design_scores_gemma":[0.0002426612,0.00008209528,0.0001186374,0.00001048359,0.000005407038,0.000004294745,0.00001453907,0.001359356,0.9956232,0.00002418717,0.002430163,0.00008494299],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982474,0.000008516109,0.0009823136,0.00004138828,0.0002141281,0.00008154968,0.00001109517,0.000004277616,0.0004092849],"genre_scores_gemma":[0.998746,0.00001904898,0.0005752851,0.0002146153,0.00009993881,0.000004026926,0.00006485273,0.00001515665,0.000261108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003275775,"threshold_uncertainty_score":0.3283845,"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."}}