{"id":"W3011591121","doi":"10.1016/j.socscimed.2020.112930","title":"Governing the futures of non-invasive prenatal testing: An exploration of social acceptability using the Delphi method","year":2020,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; McGill University","funders":"Canadian Institutes of Health Research; Fonds de Recherche du Québec-Société et Culture","keywords":"Delphi method; Futures contract; Genetic testing; Health care; Public health; Psychology; Medicine; Political science; Family medicine; Public relations; Law; Nursing; Business","routes":{"ca_aff":true,"ca_fund":true,"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":[0.2692784,0.0008253334,0.0008412608,0.002336298,0.01310427,0.0140006,0.00378735,0.004392476,0.003444277],"category_scores_gemma":[0.2302412,0.0009813551,0.001113718,0.001403511,0.02900754,0.01140082,0.01745592,0.008805014,0.0002606686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01057468,"about_ca_system_score_gemma":0.0218128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004560722,"about_ca_topic_score_gemma":0.002627166,"domain_scores_codex":[0.6403033,0.3237806,0.006283954,0.00425834,0.01743202,0.007941724],"domain_scores_gemma":[0.6822391,0.2910523,0.005857809,0.004821977,0.01242107,0.003607728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001654682,0.0001751764,0.006238343,0.0003403435,0.0000417127,0.0006532031,0.77558,0.001032187,0.001623373,0.1722646,0.0008486237,0.04103705],"study_design_scores_gemma":[0.0000677156,0.0003576363,0.006209899,0.000920872,0.00004594889,0.0005759384,0.8254074,0.005241796,0.001786998,0.1341342,0.02509609,0.0001555647],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7544041,0.0007553523,0.09405337,0.04544011,0.0002790628,0.002161454,0.00007303501,0.00006894705,0.1027646],"genre_scores_gemma":[0.9886091,0.0001541848,0.009093931,0.0006475716,0.00002365077,0.0005146204,0.0000106275,0.00001679769,0.0009294373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2692784,"threshold_uncertainty_score":0.9011099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1380884385247816,"score_gpt":0.4036652713814741,"score_spread":0.2655768328566925,"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."}}