{"id":"W2059784258","doi":"10.1089/bio.2013.0085","title":"How to Design Biospecimen Identifiers and Integrate Relevant Functionalities into Your Biospecimen Management System","year":2014,"lang":"en","type":"article","venue":"Biopreservation and Biobanking","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Deutsche Forschungsgemeinschaft; Deutscher Akademischer Austauschdienst","keywords":"Biobank; Biorepository; Identifier; Workflow; Documentation; Computer science; Process management; Best practice; Sample (material); Data science; Knowledge management; Database; Engineering; Bioinformatics","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":[0.01480643,0.001330043,0.0008746606,0.002460776,0.001248087,0.008591515,0.003649623,0.003238691,0.01538613],"category_scores_gemma":[0.02465951,0.002014208,0.001460877,0.001539188,0.001708206,0.01186098,0.004432079,0.00461911,0.02212496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001693337,"about_ca_system_score_gemma":0.003880878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002657777,"about_ca_topic_score_gemma":0.001792334,"domain_scores_codex":[0.9935427,0.00164358,0.00102793,0.001040698,0.002100613,0.0006444593],"domain_scores_gemma":[0.9881788,0.003012657,0.0008275938,0.003879141,0.003282519,0.0008194047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006788461,0.0005028013,0.008516365,0.002706965,0.0001637749,0.001488099,0.006025105,0.008300915,0.04101234,0.2332427,0.1600316,0.5373305],"study_design_scores_gemma":[0.00009927008,0.0001543441,0.001709403,0.0009848098,0.00009286556,0.0009506567,0.0005835943,0.01667921,0.04439053,0.03846587,0.8957007,0.0001887325],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003778569,0.0003805976,0.9406151,0.002226571,0.0004265752,0.00147064,0.001323465,0.0324657,0.01731277],"genre_scores_gemma":[0.01769301,0.000465013,0.9604868,0.001317329,0.00008546338,0.00121692,0.002460322,0.005405265,0.01086986],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01538613,"threshold_uncertainty_score":0.07830483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3147520068098518,"score_gpt":0.4319429092900172,"score_spread":0.1171909024801654,"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."}}