{"id":"W3208956947","doi":"10.5281/zenodo.2556921","title":"Canadian Health Omics Repository, Distributed (CHORD)","year":2019,"lang":"en","type":"article","venue":"Figshare","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Chord (peer-to-peer); Computer science; Computational biology; Data science; Biology; Database","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004950193,0.001953864,0.001892595,0.0085394,0.004656082,0.01194293,0.00468262,0.002046518,0.4989796],"category_scores_gemma":[0.02412722,0.00166948,0.001451309,0.01506003,0.001183669,0.004722998,0.008394758,0.002481556,0.3249821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01231367,"about_ca_system_score_gemma":0.04365985,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7451066,"about_ca_topic_score_gemma":0.8087962,"domain_scores_codex":[0.9974809,0.0001951243,0.0001774008,0.0003364973,0.001477779,0.0003322134],"domain_scores_gemma":[0.9864525,0.00110928,0.0002523712,0.002098312,0.008091443,0.001996187],"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":[0.00001858078,0.000002328931,0.00004408887,0.00007369554,0.000004434037,0.00001142078,0.00002399163,0.00002557003,0.00006390554,0.0006840935,0.9905308,0.008517229],"study_design_scores_gemma":[0.00003776958,0.000002913039,0.0006280841,0.00009252133,0.00001235714,0.00001841122,0.00008408046,0.0001501666,0.0001681496,0.001383124,0.9973897,0.00003261573],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004633691,0.001661302,0.01073477,0.01645164,0.003398262,0.0006136235,0.7558537,0.04012953,0.1706938],"genre_scores_gemma":[0.006213116,0.003995326,0.02860445,0.004852209,0.00122258,0.0007336982,0.6231058,0.01799978,0.313273],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4989796,"threshold_uncertainty_score":0.7146448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008709981524500287,"score_gpt":0.2294678688518541,"score_spread":0.2207578873273538,"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."}}