{"id":"W2316174800","doi":"10.1089/bio.2014.1263","title":"What Are Some of the ELSI Challenges of International Collaborations Involving Biobanks, Global Sample Collection, and Genomic Data Sharing and How Should They Be Addressed?","year":2014,"lang":"en","type":"article","venue":"Biopreservation and Biobanking","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Biobank; Library science; Population; Political science; Data sharing; Sociology; Medicine; Biology; Genetics; Computer science","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":[0.0004317533,0.00009727049,0.000187818,0.00009061968,0.0001573147,0.00008129334,0.0002098924,0.00009865027,0.00000265986],"category_scores_gemma":[0.001156303,0.00007066512,0.00001430192,0.0001865382,0.0001687333,0.0005212732,0.0005091984,0.00008535877,4.377598e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003283483,"about_ca_system_score_gemma":0.00004675726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002029062,"about_ca_topic_score_gemma":0.000707998,"domain_scores_codex":[0.9991233,0.00003234036,0.0001944725,0.000358098,0.0001836246,0.0001081763],"domain_scores_gemma":[0.9989489,0.00007133222,0.00023382,0.0004682154,0.0002426154,0.00003512823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006789601,0.00004616304,0.9463842,0.0003747228,0.0000606662,2.243673e-7,0.0003892687,0.000001290617,0.01381015,0.0300412,0.000336308,0.008487902],"study_design_scores_gemma":[0.0006839518,0.00009419247,0.9782332,0.0003942024,0.00004473635,0.00001121149,0.003966835,0.002882774,0.0028076,0.006019708,0.004760824,0.0001007329],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9441772,0.009455244,0.0000514691,0.0456191,0.0002185042,0.0003131832,0.00009058883,0.00003258371,0.00004209461],"genre_scores_gemma":[0.9844069,0.01442667,0.0007889209,0.000203501,0.00009870178,0.000008440342,0.0000418859,0.000006103063,0.00001882255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0454156,"threshold_uncertainty_score":0.288164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2159882530611718,"score_gpt":0.3458360940649347,"score_spread":0.1298478410037628,"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."}}