{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000600924,0.0009301684,0.0006976065,0.0005737073,0.0003977914,0.0006744585,0.0004740199,0.0005637218,0.001470643],"category_scores_gemma":[0.0006226039,0.0002468857,0.0006373443,0.0005233185,0.0003027975,0.0004226319,0.0004164782,0.001004484,0.0005513863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005045675,"about_ca_system_score_gemma":0.0006674159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001801128,"about_ca_topic_score_gemma":0.004899546,"domain_scores_codex":[0.9995403,0.0000525521,0.00002328607,0.00006900382,0.000253421,0.00006149479],"domain_scores_gemma":[0.9996006,0.00009692812,0.00006023003,0.00003992885,0.0001657384,0.00003660502],"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":[0.00007160327,0.0001780641,0.0006046838,0.0001073161,0.00003671108,0.00004645674,0.0000176644,0.0005656781,0.9924781,0.00005740944,0.0003524424,0.005483839],"study_design_scores_gemma":[0.00001237871,0.00103573,0.00355692,0.00001321607,0.00005739601,0.0001558526,0.00003219094,0.001525603,0.9899936,0.00007862789,0.003522808,0.00001574728],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9307831,0.008024715,0.04539749,0.00105233,0.000239857,0.001072282,0.004901001,0.0009127617,0.007616532],"genre_scores_gemma":[0.92819,0.009586365,0.03813186,0.0009354782,0.00006158924,0.0006074219,0.007148291,0.0001716964,0.0151672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001801128,"threshold_uncertainty_score":0.004919827,"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."}}