{"id":"W2557541302","doi":"10.1089/bio.2016.29012.mjb","title":"International Biobanking Summit V: Harmonizing Privacy Laws to Enable International Biobank Research","year":2016,"lang":"en","type":"article","venue":"Biopreservation and Biobanking","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; The Quebec Population Health Research Network","funders":"","keywords":"Biobank; Summit; Library science; Political science; Law; Geography; Biology; Bioinformatics; Computer science; Cartography","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":[0.001209363,0.0001806825,0.0002138079,0.0008155905,0.0002842027,0.0001529777,0.0004149774,0.0001665583,0.0002861094],"category_scores_gemma":[0.001858588,0.0001258406,0.00005661848,0.0005790108,0.0001782942,0.0004678792,0.0005649673,0.0002500236,0.0001173199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002695532,"about_ca_system_score_gemma":0.00009043115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001573948,"about_ca_topic_score_gemma":0.00001448407,"domain_scores_codex":[0.9975913,0.00005503952,0.0004092109,0.0006917896,0.0007470768,0.0005055656],"domain_scores_gemma":[0.9983771,0.0001254883,0.0001092773,0.0004684887,0.0007514181,0.0001682195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004230778,0.0001348378,0.394988,0.00007291589,0.0001092606,0.00002880879,0.0002408157,4.172062e-7,0.3603429,0.01599664,0.01144347,0.2162188],"study_design_scores_gemma":[0.001267137,0.0002126793,0.09501598,0.0005042983,0.00001379283,0.00002815992,0.0003262839,0.00008330516,0.094762,0.003554527,0.8039984,0.0002335045],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.861373,0.0003465246,0.001227369,0.1232149,0.001028261,0.0007177321,0.0000225821,0.0003382924,0.01173131],"genre_scores_gemma":[0.9888136,0.0008443243,0.006517151,0.0007297117,0.0007943318,0.00006866907,0.00003008548,0.00002596367,0.002176153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7925549,"threshold_uncertainty_score":0.5131629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2625154003634321,"score_gpt":0.4108870243785461,"score_spread":0.1483716240151141,"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."}}