{"id":"W2074493520","doi":"10.1159/000279624","title":"Framing Genomics, Public Health Research and Policy: Points to Consider","year":2010,"lang":"en","type":"article","venue":"Public Health Genomics","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University; Université Laval; McGill Genome Centre","funders":"Genome Canada","keywords":"Public health; Framing (construction); Stakeholder; Public relations; Population; Political science; Medicine; Environmental health; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.06222579,0.0003055853,0.0009003917,0.001602623,0.001123445,0.0005201989,0.0007072836,0.0007174799,0.0002358059],"category_scores_gemma":[0.07687043,0.0003068173,0.00009297681,0.001445573,0.001131972,0.0002063386,0.001263783,0.008224418,0.0004369243],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002419929,"about_ca_system_score_gemma":0.05267048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003157308,"about_ca_topic_score_gemma":0.006965247,"domain_scores_codex":[0.990068,0.000944075,0.001715505,0.001380311,0.001966974,0.003925199],"domain_scores_gemma":[0.9743291,0.01052269,0.0003461019,0.002241376,0.002763383,0.009797412],"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":[0.0001785268,0.001436489,0.03656882,0.002476264,0.0002034573,0.00004041819,0.01867112,9.23992e-7,0.002292234,0.5932565,0.03778826,0.307087],"study_design_scores_gemma":[0.001392309,0.001287167,0.03742349,0.00007653105,0.000002124801,0.0001249549,0.001553751,0.0001709361,0.00004176382,0.03720703,0.9204423,0.0002776331],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.365091,0.0004378549,0.000480453,0.629773,0.0004366437,0.001474406,0.0000520871,0.00009173357,0.002162864],"genre_scores_gemma":[0.7957392,0.005322728,0.04339996,0.1499444,0.002482681,0.0001361355,0.0000787278,0.0002058288,0.002690332],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8826541,"threshold_uncertainty_score":0.9999384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7776485813604408,"score_gpt":0.6466685757225764,"score_spread":0.1309800056378644,"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."}}