{"id":"W2758439028","doi":"10.1016/j.cryobiol.2017.09.005","title":"A toxicity cost function approach to optimal CPA equilibration in tissues","year":2017,"lang":"en","type":"article","venue":"Cryobiology","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Biomedical Imaging and Bioengineering; National Institute of Child Health and Human Development; Natural Sciences and Engineering Research Council of Canada","keywords":"Cryopreservation; Toxicity; Function (biology); Thermal diffusivity; Biomedical engineering; Chemistry; Biological system; Computer science; Materials science; Biology; Physics; Cell biology; Thermodynamics; Embryo; Medicine","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":[0.0003660694,0.0000991559,0.0002561125,0.00006161858,0.0001227144,0.00001182077,0.0001176574,0.0002073903,0.00006067461],"category_scores_gemma":[0.0005660339,0.0000795796,0.00003535465,0.00004263445,0.0002183252,0.00009778445,0.00008688383,0.0001646614,0.00008119363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004789121,"about_ca_system_score_gemma":0.00003579631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003667009,"about_ca_topic_score_gemma":0.00002281743,"domain_scores_codex":[0.9990737,0.00008481427,0.0001686559,0.0004329474,0.00003358803,0.0002062483],"domain_scores_gemma":[0.9992213,0.0000207773,0.00006190978,0.0005784262,0.00005298441,0.00006464662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01622633,0.001005818,0.5893931,0.00007801604,0.00009178099,0.00001591823,0.001004637,0.0000711151,0.3585685,0.002330261,0.002552319,0.02866224],"study_design_scores_gemma":[0.0005615976,0.0005295892,0.9818509,0.000008586825,0.00001422488,0.00002158149,0.00006475634,0.0001610551,0.008473094,0.0002606843,0.007973741,0.00008022768],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828894,0.0001107131,0.004009163,0.001184799,0.0003478271,0.0005904136,0.000004317213,0.00003368648,0.0108297],"genre_scores_gemma":[0.9976505,0.000006358979,0.0009647847,0.0003500486,0.0002764022,0.00007116353,0.00006006436,0.000005880768,0.0006148115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3924578,"threshold_uncertainty_score":0.3245162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05665310186991196,"score_gpt":0.331074377806154,"score_spread":0.274421275936242,"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."}}