{"id":"W1566621731","doi":"10.1002/9780470015902.a0005589.pub3","title":"Codes of Ethics for Genetics Professionals","year":2015,"lang":"en","type":"other","venue":"Encyclopedia of Life Sciences","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Engineering ethics; Globe; Government (linguistics); Ethical code; Genetic engineering; Political science; Genetic testing; Informatics; Medicine; Engineering; Biology; Law; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001680325,0.0001150887,0.000423719,0.0002020386,0.000040866,0.000002075767,0.0001839194,0.0006458218,0.0002131352],"category_scores_gemma":[0.001075546,0.00007353264,0.00006969261,0.0002787951,0.002373817,0.00001362246,0.00004693964,0.0002535785,0.000002819062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007129523,"about_ca_system_score_gemma":0.002992876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004401053,"about_ca_topic_score_gemma":0.00004583408,"domain_scores_codex":[0.9982117,0.00005465273,0.000362943,0.0002101067,0.001019864,0.0001406982],"domain_scores_gemma":[0.9987224,0.0002500974,0.0004226204,0.0001559878,0.0002940019,0.000154939],"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":[0.00002843158,0.0001777909,0.000588713,0.00212487,0.00005582755,3.983954e-7,0.0009585939,0.00000269117,0.000184574,0.003176151,0.990037,0.002664975],"study_design_scores_gemma":[0.0004603805,0.0003602574,0.0003001271,0.001448287,0.00007589263,9.283888e-7,0.0003566779,0.0001512869,0.0001411997,0.003156519,0.9934305,0.0001179557],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000822277,0.02604889,0.0006427681,0.01645848,0.002310569,0.001320186,0.0003113418,0.00005368032,0.9520318],"genre_scores_gemma":[0.008988979,0.01601579,0.04993765,0.001272508,0.002501861,0.00004463128,0.0001782011,0.0001959221,0.9208645],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04929489,"threshold_uncertainty_score":0.8746427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1040647494259895,"score_gpt":0.4164897532184098,"score_spread":0.3124250037924202,"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."}}