{"id":"W4295346816","doi":"10.1016/j.cryobiol.2022.09.002","title":"Multiple cryoprotectant toxicity model for vitrification solution optimization","year":2022,"lang":"en","type":"article","venue":"Cryobiology","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institutes of Health; National Science Foundation","keywords":"Vitrification; Cryoprotectant; Toxicity; Molality; Formamide; Dimethyl sulfoxide; Chemistry; Glycerol; Ethylene glycol; Cryopreservation; Chromatography; Biochemistry; Organic chemistry; Biology; Aqueous solution; Physics","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":[0.0004849231,0.00008590506,0.0001832355,0.00005923643,0.0003273917,0.000001891985,0.00006902567,0.0001079337,0.00009015356],"category_scores_gemma":[0.0004719642,0.00007870851,0.00007370326,0.00009530767,0.0001032322,0.00003183823,0.0000483285,0.0001602428,0.000003245913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001373776,"about_ca_system_score_gemma":0.00008176032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000786859,"about_ca_topic_score_gemma":0.000002462304,"domain_scores_codex":[0.9990705,0.0001089174,0.0001980463,0.0003926372,0.00004594524,0.0001839522],"domain_scores_gemma":[0.9994158,0.00005599113,0.00008934633,0.0002851925,0.0001192243,0.00003446821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01210555,0.0005764902,0.007009953,0.00004711639,0.00006657149,0.000001103396,0.0002993949,0.1318378,0.8429182,0.0007156528,0.001095272,0.003326872],"study_design_scores_gemma":[0.001151581,0.0006182292,0.01464968,0.000001579004,0.00003719384,0.00003214654,0.00004256028,0.967814,0.01257328,0.001039463,0.001938382,0.0001018813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3299908,0.0001650324,0.6670052,0.001314221,0.0002266255,0.001051681,0.00006247213,0.00007185928,0.000112113],"genre_scores_gemma":[0.9855399,0.00000792669,0.01251507,0.0003636907,0.000100714,0.0006502401,0.0004797804,0.000009395473,0.0003332922],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8359762,"threshold_uncertainty_score":0.320964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04684404715173467,"score_gpt":0.2864425770940212,"score_spread":0.2395985299422865,"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."}}