{"id":"W2075829691","doi":"10.1186/gm194","title":"Stem cell banking: between traceability and identifiability","year":2010,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Canadian Institutes of Health Research; Stem Cell Network","keywords":"Stem cell; Traceability; Tissue bank; Context (archaeology); Business; Lagging; Harmonization; Regenerative medicine; Biobank; Biotechnology; Computer science; Medicine; Biology; Bioinformatics; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001805491,0.0001538979,0.0004186971,0.00009973103,0.0001096633,0.000009869909,0.00008996361,0.0002991603,0.0008065135],"category_scores_gemma":[0.00005716713,0.0001037829,0.00005038442,0.0002227866,0.002174525,0.00004451921,0.00005751877,0.0007546291,0.00001740033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003016159,"about_ca_system_score_gemma":0.00007854537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000546903,"about_ca_topic_score_gemma":0.00001725637,"domain_scores_codex":[0.9983954,0.00005162873,0.0004246244,0.0004039516,0.0004820443,0.0002423378],"domain_scores_gemma":[0.998734,0.0001600467,0.00009258637,0.0004717854,0.000137915,0.0004036747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001443346,0.000396738,0.2361312,0.002018416,0.0001105999,0.0000389149,0.005622115,4.861523e-7,0.5187244,0.002477397,0.0006242682,0.2337111],"study_design_scores_gemma":[0.001683887,0.0003337302,0.9593931,0.0000448297,0.0001756571,0.00002927431,0.0002084784,0.00010314,0.001132601,0.007406266,0.02935278,0.0001362647],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9671497,0.0005410803,0.0003858253,0.02818037,0.0004331542,0.0004208217,0.00000799042,0.00009323333,0.00278786],"genre_scores_gemma":[0.997326,0.00003918205,0.0004033971,0.0003120203,0.0009505028,0.0000062936,0.00005327856,0.00001576413,0.0008936312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7232619,"threshold_uncertainty_score":0.8830757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02572043521558119,"score_gpt":0.2886872239625055,"score_spread":0.2629667887469243,"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."}}