{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1275009,0.0008986583,0.001881825,0.005700769,0.004920997,0.01981763,0.003975831,0.01032289,0.003221432],"category_scores_gemma":[0.22554,0.001049438,0.001516501,0.005228881,0.06882933,0.04478628,0.01834936,0.01201871,0.0006804453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008204407,"about_ca_system_score_gemma":0.01119031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002469342,"about_ca_topic_score_gemma":0.001124799,"domain_scores_codex":[0.8594539,0.09310053,0.008776923,0.009036603,0.02622671,0.003405369],"domain_scores_gemma":[0.6286591,0.303153,0.01689529,0.03267311,0.01628118,0.002338369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005049503,0.00003234404,0.001780017,0.0001464128,0.00002457406,0.0002123254,0.004646886,0.001239555,0.0002613942,0.9596789,0.0008932283,0.03103375],"study_design_scores_gemma":[0.0000119677,0.00003232131,0.0004448032,0.000306573,0.00001318572,0.000217937,0.001618071,0.001166373,0.0005384067,0.9845939,0.01102861,0.00002794944],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05634179,0.02087273,0.5836609,0.2298875,0.001146779,0.0004288422,0.0001913195,0.0002455212,0.1072246],"genre_scores_gemma":[0.8508548,0.009822619,0.1206099,0.01064282,0.001403231,0.0005371309,0.0001740788,0.0001904666,0.005764978],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1275009,"threshold_uncertainty_score":0.6742972,"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."}}