{"id":"W2063463353","doi":"10.1177/0270467607310589","title":"Research in the Biotech Age: Can Informational Privacy Compete?","year":2007,"lang":"en","type":"article","venue":"Bulletin of Science Technology & Society","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Context (archaeology); Personally identifiable information; Government (linguistics); Informed consent; Information privacy; Internet privacy; Public relations; Medical research; Medical information; Element (criminal law); Privacy policy; Business; Political science; Privacy by Design; Privacy protection; Law; Knowledge management; Medicine; Biotechnology; Computer science; Alternative medicine; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.144521,0.0008395307,0.002325722,0.004001521,0.01528952,0.04380848,0.00405586,0.03020501,0.01503479],"category_scores_gemma":[0.1534805,0.001414112,0.001518503,0.004527972,0.06431908,0.0651887,0.02694762,0.01797067,0.003166703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01008496,"about_ca_system_score_gemma":0.0171583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002536813,"about_ca_topic_score_gemma":0.002160243,"domain_scores_codex":[0.8921185,0.07684728,0.003230755,0.00646343,0.01515356,0.006186537],"domain_scores_gemma":[0.7061378,0.2430546,0.01330553,0.01579412,0.01112748,0.01058047],"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":[0.00005529991,0.00003045052,0.0008247891,0.0001173978,0.00002152893,0.0002163686,0.007455478,0.0001132979,0.0001040824,0.9638603,0.005982529,0.02121841],"study_design_scores_gemma":[0.00005161652,0.00006702646,0.0005141646,0.0006219405,0.00002816944,0.0005361118,0.00595171,0.0002416809,0.0002528457,0.8823531,0.1093453,0.00003619678],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0126236,0.02750206,0.02509114,0.7473449,0.001555571,0.0000777719,0.00005861921,0.00007130641,0.1856751],"genre_scores_gemma":[0.7300671,0.02908289,0.01482652,0.1930791,0.01091586,0.0005651161,0.0000866019,0.0002073594,0.02116936],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9847105,"threshold_uncertainty_score":0.7643095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2991330029708799,"score_gpt":0.5481463698174981,"score_spread":0.2490133668466182,"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."}}