{"id":"W6945621737","doi":"10.25504/fairsharing.802704","title":"FAIRsharing record for: Canadian VirusSeq Data Portal","year":2022,"lang":"en","type":"dataset","venue":"FAIRsharing.org","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sequence (biology); Data collection; Audit","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001734911,0.002034317,0.001439238,0.005208133,0.003546561,0.005060588,0.0045338,0.001831326,0.226108],"category_scores_gemma":[0.01173438,0.001005663,0.00102981,0.01088102,0.0008880851,0.002775907,0.003198394,0.002560012,0.181927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01169553,"about_ca_system_score_gemma":0.02658674,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7889531,"about_ca_topic_score_gemma":0.8545738,"domain_scores_codex":[0.9980242,0.0001327124,0.0001092885,0.0004027197,0.0008381198,0.000492837],"domain_scores_gemma":[0.9933606,0.0006963187,0.0002309586,0.001565569,0.003142037,0.001004572],"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":[0.00001335777,0.000002904272,0.0001231394,0.00004985688,0.000003325737,0.000003536669,0.000009224813,0.00003902027,0.00002351255,0.0002536783,0.9987525,0.000725984],"study_design_scores_gemma":[0.00006978813,0.000003388114,0.001530488,0.0001026946,0.000007294086,0.00001545416,0.00005880068,0.0001887243,0.00016366,0.0007675018,0.9970601,0.00003206286],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005054084,0.00002471498,0.00005062265,0.00009763077,0.00002997903,0.0000128077,0.9971659,0.0005290022,0.002038867],"genre_scores_gemma":[0.000329997,0.00004016297,0.0002709914,0.00007184811,0.00000769099,0.00003977684,0.9971091,0.0002605137,0.001869866],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.226108,"threshold_uncertainty_score":0.7564065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1229940025866421,"score_gpt":0.3333447928052551,"score_spread":0.2103507902186131,"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."}}