{"id":"W4200000531","doi":"10.1089/bio.2021.29098.aja","title":"Back to the Future: How Biorepositories Can Help Move Science from Bench to Bedside!","year":2021,"lang":"en","type":"article","venue":"Biopreservation and Biobanking","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network","funders":"","keywords":"Library science; Management; Computer science","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":[0.03649262,0.00147664,0.001350508,0.001593167,0.005630017,0.01496114,0.003598761,0.01541685,0.06549156],"category_scores_gemma":[0.06703881,0.000980295,0.001658979,0.0009388273,0.01254493,0.03003356,0.01037862,0.02287352,0.02829011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003165515,"about_ca_system_score_gemma":0.01460802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005047818,"about_ca_topic_score_gemma":0.01329049,"domain_scores_codex":[0.9840965,0.009078968,0.0005178561,0.001112729,0.003867311,0.001326651],"domain_scores_gemma":[0.9381113,0.02829954,0.001928233,0.005535986,0.01249587,0.01362913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002801008,0.000263624,0.002358878,0.0008895108,0.00007159527,0.0005504815,0.002076711,0.0003198278,0.001828421,0.04988911,0.7558292,0.1856426],"study_design_scores_gemma":[0.00006998546,0.000183556,0.001278916,0.001747354,0.00004696325,0.0006215438,0.003777969,0.0002914126,0.00103562,0.09586845,0.8949519,0.000126337],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001329972,0.03705471,0.01342797,0.8912047,0.03275848,0.00007752835,0.0003237179,0.0009607831,0.02286221],"genre_scores_gemma":[0.04944419,0.08224128,0.08233054,0.6765789,0.03406471,0.0005770081,0.000853285,0.001630619,0.07227951],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06549156,"threshold_uncertainty_score":0.2190911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02843760428952092,"score_gpt":0.2873861879919134,"score_spread":0.2589485837023925,"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."}}