{"id":"W2328836612","doi":"10.1089/bio.2015.0073","title":"Fundamental Considerations for Biobank Legacy Planning","year":2016,"lang":"en","type":"article","venue":"Biopreservation and Biobanking","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; Island Health; University of British Columbia","funders":"","keywords":"Biobank; Perpetuity; Corporate governance; Best practice; Closure (psychology); Plan (archaeology); Value (mathematics); Engineering ethics; Business; Computer science; Political science; Law; Engineering; Bioinformatics; Finance; Geography; Biology","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":[0.0009627047,0.00008902459,0.0001430152,0.00009949612,0.0002329573,0.0001006444,0.00005264742,0.0001757441,0.0002194986],"category_scores_gemma":[0.005408335,0.00005788976,0.00005519925,0.00008250769,0.0001779998,0.0002386431,0.00007618923,0.0001729674,0.00001429445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000475906,"about_ca_system_score_gemma":0.0001308351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001932615,"about_ca_topic_score_gemma":0.00002145004,"domain_scores_codex":[0.9988907,0.00002339374,0.0002843917,0.0002742062,0.000312734,0.0002146031],"domain_scores_gemma":[0.9960183,0.003325734,0.00006579442,0.0001936572,0.0002874149,0.0001090862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000441497,0.0001629177,0.4762116,0.0003287575,0.0001049263,0.00001740964,0.0003282341,5.618484e-7,0.2964772,0.204905,0.006447737,0.01457412],"study_design_scores_gemma":[0.01045221,0.001434906,0.4797463,0.002290479,0.0001213097,0.00009386198,0.0006742202,0.000929836,0.0665578,0.3630138,0.07405967,0.00062561],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9408447,0.0002933712,0.005103916,0.05062025,0.0002227444,0.0006730898,0.00003453797,0.0001051758,0.002102219],"genre_scores_gemma":[0.9887605,0.0001028328,0.007631761,0.001708261,0.000238618,0.00003840781,0.00001403572,0.00001324254,0.001492378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2299194,"threshold_uncertainty_score":0.6474674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6513617742240584,"score_gpt":0.5579440832079346,"score_spread":0.09341769101612374,"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."}}