{"id":"W2013063035","doi":"10.1016/j.socscimed.2009.01.044","title":"Genetics on stage: Public engagement in health policy development on preimplantation genetic diagnosis","year":2009,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Participatory Visual Research Methods","field":"Social Sciences","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; Trent University; University of British Columbia","funders":"","keywords":"Fieldnotes; CLARITY; Public engagement; Context (archaeology); Public relations; Public health; Reflexivity; Focus group; Sociology; Public policy; Political science; Medicine; Social science; Nursing; History; Biology; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.1198913,0.0009112799,0.001196728,0.002614583,0.01362085,0.01293828,0.003810151,0.02239994,0.01856047],"category_scores_gemma":[0.1937592,0.0009885841,0.001066171,0.001808121,0.01976853,0.01342252,0.02242305,0.01547292,0.0007531533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01168155,"about_ca_system_score_gemma":0.03883825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01233506,"about_ca_topic_score_gemma":0.01599406,"domain_scores_codex":[0.8463784,0.1367495,0.001344834,0.002795263,0.004116591,0.008615433],"domain_scores_gemma":[0.7100763,0.2680505,0.005172155,0.003092699,0.003616977,0.009991338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007011263,0.001585832,0.01863161,0.0009112604,0.0001968301,0.001754809,0.1808164,0.002502082,0.0008997961,0.5707948,0.05615556,0.16505],"study_design_scores_gemma":[0.0006631588,0.000553796,0.01256681,0.002608945,0.0001884166,0.0002337369,0.1747117,0.003223237,0.001217603,0.6924429,0.1114646,0.0001250402],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.09108272,0.002401853,0.01669846,0.8000934,0.002315713,0.0005590867,0.0001643392,0.00008420991,0.08660019],"genre_scores_gemma":[0.9516772,0.001178108,0.005219893,0.03506718,0.0006658603,0.00113895,0.00006089524,0.00003943134,0.004952456],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1198913,"threshold_uncertainty_score":0.6340532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6233520721481942,"score_gpt":0.6690569764808196,"score_spread":0.04570490433262542,"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."}}