{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.02342742,0.0002351045,0.0007430425,0.001030653,0.001817664,0.0001896104,0.0007554093,0.0001692789,0.00001996719],"category_scores_gemma":[0.00186041,0.0002001129,0.00007787906,0.001339172,0.000350051,0.0002177744,0.0001630659,0.0006556011,0.0007042353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001209436,"about_ca_system_score_gemma":0.001902108,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2141947,"about_ca_topic_score_gemma":0.01884244,"domain_scores_codex":[0.9919544,0.0025823,0.003175092,0.000642874,0.0002785967,0.001366714],"domain_scores_gemma":[0.9948616,0.002460896,0.001039205,0.0010766,0.0001262723,0.000435397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003022558,0.00009505983,0.07548025,0.001640815,0.00002595233,0.000006141343,0.07144924,0.00002813369,3.940376e-7,0.8226038,0.02072278,0.007917197],"study_design_scores_gemma":[0.0007922799,0.000255502,0.3656861,0.000288157,8.417205e-7,0.0001125429,0.01575417,0.0006564501,5.274388e-7,0.1141375,0.5020234,0.0002925869],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1892225,0.04959911,0.00001196055,0.7583664,0.0001596387,0.001223914,0.0001470149,0.0000351198,0.001234385],"genre_scores_gemma":[0.8670669,0.05386699,0.0002981554,0.07603607,0.001964974,0.0002740746,0.000009612599,0.00004682048,0.0004364582],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7084664,"threshold_uncertainty_score":0.9994819,"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."}}