{"id":"W2169053966","doi":"10.1111/j.1399-0004.2006.00707.x","title":"Introduction: genetic diversity and science communication","year":2006,"lang":"en","type":"article","venue":"Clinical Genetics","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Stem Cell Network","keywords":"Citation; Library science; Diversity (politics); Sociology; Law; Political science; Computer science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.004302333,0.00007949198,0.0002077686,0.00006431752,0.0007189175,0.00003235959,0.0003589333,0.0002351496,0.00008155312],"category_scores_gemma":[0.00663771,0.00007310415,0.00006177697,0.0003257574,0.003717291,0.00003676257,0.002100314,0.001046504,0.00005650509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004391625,"about_ca_system_score_gemma":0.0002621762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003792808,"about_ca_topic_score_gemma":0.00004208136,"domain_scores_codex":[0.9979359,0.0001082398,0.0005347468,0.0004533239,0.0007324315,0.0002353558],"domain_scores_gemma":[0.9957051,0.002314627,0.00008851202,0.0009703976,0.0006749257,0.0002464803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006476817,0.0003032442,0.9761922,0.0000454759,0.00001229165,0.000007598303,0.00004829985,0.00001608611,0.0003399181,0.007001023,0.002477388,0.01349169],"study_design_scores_gemma":[0.0006335803,0.000330221,0.9586797,0.00002165746,0.00004585286,0.00001710177,0.00002567334,0.0005583375,0.0002904683,0.03084806,0.008469552,0.00007983582],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836847,0.001174996,0.0003293637,0.01083676,0.0002487222,0.0001997865,0.000001295204,0.00003597189,0.003488395],"genre_scores_gemma":[0.9702215,0.004511966,0.02158608,0.0005790559,0.00109178,0.000002278241,0.000003657235,0.000009180341,0.001994513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02384704,"threshold_uncertainty_score":0.998994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.453561846119039,"score_gpt":0.5703356380554759,"score_spread":0.1167737919364369,"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."}}