{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09104425,0.0006166908,0.001076513,0.001694035,0.007837581,0.01862037,0.00417981,0.02230549,0.005423861],"category_scores_gemma":[0.1705896,0.000992114,0.0007625227,0.002338454,0.03480843,0.02492033,0.008985526,0.0244305,0.00123249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0138648,"about_ca_system_score_gemma":0.01657633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01145059,"about_ca_topic_score_gemma":0.007771828,"domain_scores_codex":[0.9043869,0.06041576,0.004265438,0.007307378,0.01914522,0.00447929],"domain_scores_gemma":[0.8159878,0.1533073,0.00855638,0.009669186,0.008985522,0.003493757],"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":[0.00003181697,0.00001517186,0.0004659843,0.0001294368,0.00001051397,0.0002325566,0.002975996,0.0007042239,0.0001045312,0.9646723,0.02173867,0.008918816],"study_design_scores_gemma":[0.00001592723,0.00002703914,0.0003420694,0.0007774048,0.00001067809,0.0001978264,0.003070529,0.00057472,0.0003158331,0.7979461,0.1966802,0.00004156521],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.008569386,0.01725976,0.02362276,0.8605191,0.002752206,0.0001065004,0.0002151214,0.00006954693,0.08688555],"genre_scores_gemma":[0.4588555,0.02571794,0.02553112,0.4665508,0.004765773,0.0008479182,0.0004341461,0.0002379283,0.01705891],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09104425,"threshold_uncertainty_score":0.4814938,"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."}}