{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003222659,0.0001767049,0.0002623039,0.0002713194,0.0002471928,0.0003613264,0.0001549737,0.0002006524,0.0000280292],"category_scores_gemma":[0.001239385,0.0001393464,0.00004604727,0.0003010341,0.0001700956,0.0001858818,0.0002931123,0.000355438,0.00002648221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001467806,"about_ca_system_score_gemma":0.00003656937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001128941,"about_ca_topic_score_gemma":0.00003297592,"domain_scores_codex":[0.9979555,0.0001299775,0.0003611752,0.0005254043,0.000748732,0.0002791809],"domain_scores_gemma":[0.9982677,0.0006823597,0.00009731419,0.0003690031,0.0003511044,0.00023254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00123193,0.0001586784,0.04319416,0.004491385,0.0005583273,0.00005281456,0.00196437,0.00001048153,0.0633859,0.8241857,0.009530979,0.05123523],"study_design_scores_gemma":[0.00928694,0.003711375,0.38004,0.008815911,0.0006717776,0.0001131325,0.03256122,0.01695056,0.05001922,0.2160317,0.2796578,0.002140368],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7341767,0.001168865,0.1492552,0.101324,0.001138329,0.002981306,0.00001852675,0.0004624977,0.009474549],"genre_scores_gemma":[0.9594646,0.0004226826,0.02503559,0.001033865,0.0003149325,0.00005706069,0.00002302639,0.00002616222,0.01362205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.608154,"threshold_uncertainty_score":0.5682384,"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."}}