{"id":"W4390679400","doi":"10.18609/cgti.2023.195","title":"Current issues & future trends in cryopreservation for advanced therapies","year":2023,"lang":"en","type":"article","venue":"Cell and Gene Therapy Insights","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Institutes of Health; Panthera","keywords":"Cryopreservation; Current (fluid); Intensive care medicine; Medicine; Risk analysis (engineering); Engineering ethics; Engineering; Biology; Fishery","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009858533,0.0001191893,0.0002019377,0.0002806324,0.00008237858,0.000009470903,0.00005128577,0.00007715417,0.00001444744],"category_scores_gemma":[0.00001117541,0.00008115306,0.00003863542,0.0004319907,0.00004215253,0.00006911271,0.00001374061,0.0001078448,0.000005981385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001380987,"about_ca_system_score_gemma":0.0000175916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000705595,"about_ca_topic_score_gemma":0.00001907655,"domain_scores_codex":[0.9992649,0.00001941874,0.0001534144,0.0002829791,0.00008983503,0.0001894454],"domain_scores_gemma":[0.9995824,0.00002573488,0.00004281381,0.0002484579,0.00006026455,0.00004036164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008409726,0.0001591235,0.004752208,0.0001469388,0.00002104964,0.000002800472,0.004686081,0.00000594384,0.1036868,0.0005962442,0.005286459,0.8798153],"study_design_scores_gemma":[0.002274294,0.0004132165,0.08638843,0.0000250305,0.000004899754,0.000001382104,0.0004108588,0.00002975026,0.06938038,0.01188511,0.8290632,0.0001234629],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9092603,0.08464993,0.00002386243,0.005088851,0.0002616726,0.0003753566,0.000003643522,0.0001658068,0.0001705539],"genre_scores_gemma":[0.8788891,0.1165953,0.0009388138,0.000223355,0.0006099906,0.0002165377,0.0001915891,0.00002279921,0.002312574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8796919,"threshold_uncertainty_score":0.3309326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06216544241441164,"score_gpt":0.3603320566345505,"score_spread":0.2981666142201388,"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."}}