{"id":"W2587854045","doi":"10.1093/eurpub/ckt126.089","title":"When may existing personal information and biospecimens be used for health research and planning? Themes from a series of deliberative dialogues","year":2013,"lang":"en","type":"article","venue":"European Journal of Public Health","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Children's Hospital of Eastern Ontario; University of Ottawa; University of Toronto; Dalhousie University; Institute for Work & Health; McMaster University; Public Health Ontario","funders":"","keywords":"Series (stratigraphy); Psychology; Health information; Data science; Computer science; Political science; Health care","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2506883,0.001406911,0.001771721,0.003065834,0.02624408,0.03087655,0.008411077,0.02371567,0.001971023],"category_scores_gemma":[0.3561141,0.002474478,0.002261203,0.002762291,0.06208392,0.03581087,0.02975646,0.04975794,0.0004876402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0205701,"about_ca_system_score_gemma":0.02709106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01130388,"about_ca_topic_score_gemma":0.007384421,"domain_scores_codex":[0.7520481,0.2111352,0.008672773,0.005249383,0.0128372,0.01005736],"domain_scores_gemma":[0.5087163,0.4356705,0.0103783,0.01102159,0.02320814,0.01100511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008797656,0.0000729727,0.001215866,0.0004037292,0.00004637945,0.00153252,0.8539295,0.0005077662,0.0006532114,0.124723,0.005787817,0.01103929],"study_design_scores_gemma":[0.00003835171,0.00005750354,0.0007121773,0.001707115,0.00004926697,0.0007982034,0.7201427,0.001675084,0.001499743,0.1335802,0.139542,0.00019772],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1281718,0.00427719,0.1224753,0.705351,0.00388417,0.0009228406,0.0002048824,0.0002415214,0.03447132],"genre_scores_gemma":[0.8988768,0.001757677,0.04943171,0.04206964,0.0008946446,0.001231773,0.000121873,0.0003182166,0.005297605],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2506883,"threshold_uncertainty_score":0.9240348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2323250137654789,"score_gpt":0.3597158647665196,"score_spread":0.1273908510010408,"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."}}