{"id":"W2288489406","doi":"10.1101/002881","title":"A GWAS platform built on iPlant cyber-infrastructure","year":2014,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Ontario Institute for Cancer Research","funders":"Agricultural Research Service; U.S. Department of Agriculture; National Science Foundation","keywords":"Computer science; Data science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005637893,0.0008582863,0.000756599,0.0003707609,0.0003256568,0.0008303541,0.003341312,0.0007928206,0.00004090198],"category_scores_gemma":[0.0001289763,0.0007674906,0.0002137033,0.0004492773,0.0000902491,0.0004801998,0.003044666,0.001470445,0.000272328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002708839,"about_ca_system_score_gemma":0.0005371435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006128419,"about_ca_topic_score_gemma":0.000001311661,"domain_scores_codex":[0.9957392,0.0001040419,0.0006229038,0.00181327,0.0008815859,0.0008390532],"domain_scores_gemma":[0.9945027,0.0001238695,0.0005767972,0.00400124,0.0003158061,0.0004795354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004815656,0.002083192,0.008712052,0.003487946,0.001755283,0.002430049,0.0002920479,0.01866232,0.5218723,0.2665739,0.17188,0.001769352],"study_design_scores_gemma":[0.00311042,0.0006930238,0.1943491,0.003911166,0.0001982044,5.606862e-7,0.000002951775,0.2527625,0.2154042,0.0004885798,0.3223056,0.006773667],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4002224,0.000740206,0.5841432,0.0007163105,0.00937468,0.00144323,0.0007496806,0.002442856,0.0001674068],"genre_scores_gemma":[0.93121,0.0001224072,0.06650013,0.0008268529,0.001119503,0.0001074708,0.000001369955,0.0001037467,0.000008534445],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5309876,"threshold_uncertainty_score":0.9994776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01350124957793545,"score_gpt":0.2211929267741912,"score_spread":0.2076916771962558,"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."}}