{"id":"W3160346726","doi":"10.1063/5.0047185","title":"Toward embryo cryopreservation-on-a-chip: A standalone microfluidic platform for gradual loading of cryoprotectants to minimize cryoinjuries","year":2021,"lang":"en","type":"article","venue":"Biomicrofluidics","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; McGill University","funders":"National Institute for Genetic Engineering and Biotechnology","keywords":"Cryoprotectant; Microfluidics; Cryopreservation; Organ-on-a-chip; Microfluidic chip; Chip; Lab-on-a-chip; Nanotechnology; Materials science; Embryo; Computer science; Biomedical engineering; Engineering; Cell biology; Biology; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002934475,0.0004706918,0.0003824753,0.00024403,0.0002005365,0.0004029632,0.0008717307,0.0006369675,0.0009939001],"category_scores_gemma":[0.0003716289,0.0002605981,0.0003173708,0.0001168879,0.0002809375,0.0003892842,0.000481032,0.0005642062,0.0004024589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002860446,"about_ca_system_score_gemma":0.0005076487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005275443,"about_ca_topic_score_gemma":0.0009938111,"domain_scores_codex":[0.9997301,0.00002285454,0.00001529006,0.00009217446,0.0001039826,0.00003566041],"domain_scores_gemma":[0.9997558,0.00007055321,0.00004906585,0.000031939,0.00005900043,0.00003362927],"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":[0.00003009256,0.00002840022,0.000225801,0.0001092597,0.0000139,0.00004093217,0.00002709864,0.0003754235,0.9905715,0.0004108681,0.0004132394,0.007753492],"study_design_scores_gemma":[0.00001480925,0.0002710099,0.00204865,0.00001364353,0.00003674589,0.0001407671,0.00001629635,0.008405461,0.9792629,0.0001278925,0.009627209,0.00003452662],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5488795,0.005261768,0.4346865,0.0007879753,0.0009128373,0.0006074623,0.001814065,0.00302408,0.004025794],"genre_scores_gemma":[0.6275502,0.003014452,0.3599569,0.0007220265,0.0001851995,0.001162367,0.001378542,0.0001784506,0.005851757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009939001,"threshold_uncertainty_score":0.003324926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06651123131638646,"score_gpt":0.3123209520010554,"score_spread":0.2458097206846689,"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."}}