{"id":"W2072964603","doi":"10.1159/000318317","title":"The Contribution of Health Technology Assessment, Health Needs Assessment, and Health Impact Assessment to the Assessment and Translation of Technologies in the Field of Public Health Genomics","year":2010,"lang":"en","type":"review","venue":"Public Health Genomics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Health impact assessment; Public health; Health assessment; Impact assessment; Health technology; Technology assessment; Medicine; Environmental health; Health care; Political science; Nursing; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.1609368,0.000933836,0.007304112,0.002844287,0.001541642,0.0003566027,0.001972936,0.0008389275,0.00001467005],"category_scores_gemma":[0.001595157,0.0007171714,0.000475577,0.002639457,0.0005838926,0.0004738979,0.0004560367,0.002761271,0.0000039437],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01037286,"about_ca_system_score_gemma":0.04359046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006211403,"about_ca_topic_score_gemma":0.005508014,"domain_scores_codex":[0.9560773,0.01025773,0.02648262,0.002182959,0.0009267789,0.004072556],"domain_scores_gemma":[0.9680125,0.005170824,0.02334882,0.002429625,0.0003457791,0.0006924758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004205628,0.0003827491,0.0106761,0.008911382,0.0002558808,1.331054e-7,0.002797965,0.00001833295,1.591145e-7,0.1775059,0.003285687,0.7961615],"study_design_scores_gemma":[0.001158693,0.002371609,0.02302679,0.001374517,0.00002080299,0.00003437755,0.01216854,0.001268291,7.773485e-8,0.003108284,0.9549273,0.0005407626],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008299591,0.4986165,0.02288371,0.4685849,0.0004816127,0.007397401,0.001081269,0.00005758613,0.00006700235],"genre_scores_gemma":[0.04037257,0.9345352,0.01169008,0.01160788,0.0001418701,0.0009646768,0.0005680982,0.0001121127,0.000007534803],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9516416,"threshold_uncertainty_score":0.9997582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4847991545159537,"score_gpt":0.5585289706121007,"score_spread":0.07372981609614698,"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."}}