{"id":"W3114752807","doi":"10.1016/j.cryobiol.2020.10.066","title":"Leveraging high throughput screening to characterize the toxicity of multiple cryoprotectants","year":2020,"lang":"en","type":"article","venue":"Cryobiology","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"National Institutes of Health","keywords":"Cryoprotectant; Throughput; Toxicity; Computer science; Computational biology; Chemistry; Toxicology; Biology; Operating system; Cryopreservation; Fishery","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":[0.0003028239,0.0001318341,0.0003938618,0.00002340136,0.00009477834,0.000002813101,0.0001696112,0.0001309919,0.0001397459],"category_scores_gemma":[0.00161143,0.00008281144,0.00007128449,0.0002043887,0.0002546082,0.00003062993,0.0001452497,0.0002631454,0.00003440617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001492789,"about_ca_system_score_gemma":0.00003950744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005573476,"about_ca_topic_score_gemma":0.000002718018,"domain_scores_codex":[0.9988331,0.0001554519,0.0002713591,0.0004386916,0.00005908615,0.000242263],"domain_scores_gemma":[0.9991708,0.00013255,0.00009402919,0.0003782479,0.0001315056,0.00009288949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003397394,0.00005063542,0.1020199,0.00003400723,0.00008493845,0.000007262147,0.001067912,0.000005274208,0.8875473,0.00004807482,0.0002303547,0.005506943],"study_design_scores_gemma":[0.0005528718,0.0004973127,0.8431224,0.00001687316,0.00002344203,0.00001934471,0.0001206844,0.00006402502,0.1510045,0.00007141362,0.004428108,0.00007900722],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770374,0.0001226939,0.006991087,0.01488304,0.0001812881,0.000566357,0.00002246913,0.00005100255,0.0001446663],"genre_scores_gemma":[0.992995,0.000006677297,0.001326541,0.005227506,0.000356348,0.00002450183,0.00002194102,0.000009753471,0.00003169548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7411025,"threshold_uncertainty_score":0.3376953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07757510639330494,"score_gpt":0.2828893440055137,"score_spread":0.2053142376122088,"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."}}