{"id":"W4285159856","doi":"10.1007/978-1-0716-2376-3_5","title":"Processing and Cryopreservation of Blood, Cancer Tissues, and Cancer Cells for Viable Biobanking","year":2022,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"British Columbia Children's Hospital; Institute of Cancer Research; University of Calgary","funders":"","keywords":"Biobank; Cryopreservation; Tissue bank; Cancer; Biorepository; Cancer cell lines; Cancer cell; Biological materials; Computational biology; Biology; Medicine; Bioinformatics; Biomedical engineering; Internal medicine; Cell biology","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":[0.001057712,0.0005412736,0.0005638317,0.0006395781,0.0008593467,0.0009482494,0.001186595,0.000499367,0.006262883],"category_scores_gemma":[0.000854982,0.0003257947,0.000474881,0.0008091758,0.0005146237,0.000585459,0.0005210256,0.00158592,0.004822176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003296668,"about_ca_system_score_gemma":0.0009130873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001428908,"about_ca_topic_score_gemma":0.002701261,"domain_scores_codex":[0.999514,0.00006125541,0.00005659303,0.0001165796,0.0001738541,0.00007769936],"domain_scores_gemma":[0.9995189,0.00008128185,0.0000317027,0.0001581395,0.0001667604,0.00004319383],"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":[0.0004044138,0.00008565422,0.001216567,0.0002339934,0.00003607493,0.0004149855,0.0003485224,0.0006613403,0.9618267,0.003491892,0.003609565,0.02767031],"study_design_scores_gemma":[0.00007417877,0.000616727,0.009920733,0.0002061422,0.0001515744,0.001375421,0.0003075814,0.003439171,0.8705425,0.003615207,0.1096875,0.00006322775],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3052998,0.01190551,0.6259579,0.001365976,0.001526658,0.004847099,0.01283895,0.001658845,0.03459932],"genre_scores_gemma":[0.3712001,0.01291687,0.5289067,0.001749869,0.0004603919,0.007322141,0.0354483,0.001262472,0.04073316],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006262883,"threshold_uncertainty_score":0.02095139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02062072570731477,"score_gpt":0.3772154504279922,"score_spread":0.3565947247206774,"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."}}