{"id":"W2106746104","doi":"10.12927/hcpol.2008.20005","title":"The Helix in the Labyrinth: Do We Need Genetic Health Services and Policy Research?","year":2008,"lang":"en","type":"article","venue":"Healthcare policy","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Genomics; Health policy; Genetic engineering; Health care; Engineering ethics; Political science; Data science; Knowledge management; Biology; Genetics; Genome; Computer science; Engineering; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.04406945,0.0005256828,0.002305952,0.00245938,0.007801495,0.01779178,0.002206214,0.02041772,0.01146487],"category_scores_gemma":[0.09471074,0.0006057592,0.0007504956,0.005052073,0.03110029,0.02774208,0.007133519,0.01561748,0.001800762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01731917,"about_ca_system_score_gemma":0.05137964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05986332,"about_ca_topic_score_gemma":0.04917652,"domain_scores_codex":[0.9766495,0.015466,0.0004503605,0.001130359,0.00251763,0.003786144],"domain_scores_gemma":[0.9086164,0.06473278,0.004794505,0.001977514,0.00553555,0.01434326],"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":[0.0002399448,0.0001465387,0.005435303,0.0007495819,0.00007755183,0.0004633927,0.003542105,0.001048742,0.0002453282,0.8549551,0.07977679,0.05331958],"study_design_scores_gemma":[0.0001199284,0.00008457634,0.003970062,0.001244117,0.00003835427,0.0001864368,0.008829188,0.0009330083,0.0001377696,0.8618963,0.1224824,0.00007788751],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.00271994,0.00435342,0.001142365,0.9879793,0.0004626151,0.00001181835,0.00004427914,0.00001230589,0.003274013],"genre_scores_gemma":[0.3563306,0.03253059,0.008224203,0.5928612,0.003900443,0.0001622847,0.0001668069,0.00006767568,0.005756189],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05986332,"threshold_uncertainty_score":0.2330644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5123258894123499,"score_gpt":0.5262417441931349,"score_spread":0.01391585478078494,"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."}}