{"id":"W2042388319","doi":"10.1159/000051115","title":"Genetics and Society Project","year":2000,"lang":"en","type":"article","venue":"Public Health Genomics","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Legislation; Government (linguistics); Public policy; Political science; Public administration; Government regulation; Public relations; 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":[0.005941582,0.0006708903,0.0006122426,0.002877866,0.004111017,0.0046886,0.001818423,0.002927255,0.2423443],"category_scores_gemma":[0.01660961,0.0002786079,0.0004158569,0.002105157,0.001249843,0.001745988,0.005799433,0.002199084,0.09272955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003636908,"about_ca_system_score_gemma":0.0170022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01485631,"about_ca_topic_score_gemma":0.02354061,"domain_scores_codex":[0.9959875,0.00123809,0.0001030775,0.0006315847,0.001315494,0.0007241914],"domain_scores_gemma":[0.9868743,0.001255412,0.000282184,0.00088766,0.002915661,0.007784728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000491849,0.00006125784,0.001757547,0.00003586056,0.000007504684,0.0001144256,0.0002984244,0.00001904144,0.00009707565,0.01979736,0.9319487,0.04581361],"study_design_scores_gemma":[0.00003863452,0.00002782782,0.002686513,0.00004617751,0.00000640209,0.0001378992,0.0003834617,0.00002898373,0.00006772956,0.003762443,0.9928079,0.000006074879],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01032578,0.002525477,0.003897595,0.1739795,0.0122218,0.0007095378,0.05815334,0.002853005,0.7353339],"genre_scores_gemma":[0.02370712,0.001822768,0.00506646,0.03223197,0.001323343,0.001094042,0.03484485,0.0009152142,0.8989941],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2423443,"threshold_uncertainty_score":0.8107224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03841653931672203,"score_gpt":0.3028534585954142,"score_spread":0.2644369192786922,"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."}}