{"id":"W2141022068","doi":"10.1534/g3.113.007435","title":"Policy Uncertainty, Sequencing, and Cell Lines","year":2013,"lang":"en","type":"article","venue":"G3 Genes Genomes Genetics","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Genome Alberta; Cure Brain Cancer Foundation; Stem Cell Network","keywords":"HeLa; Line (geometry); Political science; Cell culture; Sociology; Biology; Genetics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002199288,0.0002728011,0.0001994673,0.00007706797,0.0002200165,0.00007146489,0.0002767371,0.00011579,0.001497573],"category_scores_gemma":[0.000008020018,0.000265365,0.00004680352,0.0002294961,0.000312367,0.0001176876,0.0004947407,0.0001413487,0.001968828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003244591,"about_ca_system_score_gemma":0.0000646662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00149485,"about_ca_topic_score_gemma":0.0001465839,"domain_scores_codex":[0.9979854,0.0000968232,0.0003125725,0.0006443619,0.0003049169,0.0006558843],"domain_scores_gemma":[0.9989729,0.00005834407,0.0001164289,0.0004881188,0.00001399356,0.0003502342],"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":[0.000001606637,0.00002563486,0.06915584,0.00002561144,0.000008012624,0.00000415892,0.0007917774,0.005635052,0.07950401,0.00001033417,0.0002813725,0.8445566],"study_design_scores_gemma":[0.001730356,0.00056146,0.2073503,0.00003624073,0.0001069633,0.00009433171,0.002658188,0.02529198,0.07516288,0.00819562,0.6764668,0.002344874],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9472083,0.03917049,0.0004945982,0.0008402739,0.00009639122,0.0006956295,0.00001443228,0.00005744539,0.01142245],"genre_scores_gemma":[0.9112024,0.07632749,0.007228886,0.002353328,0.0002864695,0.00007232775,0.00001306113,0.00005776316,0.00245825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8422117,"threshold_uncertainty_score":0.9999799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.016984107951512,"score_gpt":0.246298557218055,"score_spread":0.229314449266543,"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."}}