{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science","insufficient_payload"],"category_scores_codex":[0.002245742,0.001752059,0.001720006,0.002274766,0.001704393,0.0005030087,0.0114891,0.001082775,0.1512569],"category_scores_gemma":[0.001596904,0.002148362,0.0005160884,0.001081236,0.0001907192,0.001271315,0.00977414,0.003501306,0.009349821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002588266,"about_ca_system_score_gemma":0.003467887,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6195059,"about_ca_topic_score_gemma":0.9382067,"domain_scores_codex":[0.989292,0.0001826722,0.001706752,0.004125284,0.001626501,0.003066767],"domain_scores_gemma":[0.9861537,0.0002812999,0.001239529,0.01040198,0.0002371574,0.001686318],"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":[0.0001103487,0.0001287441,0.001995,0.0003676263,0.0005500491,0.0008187931,0.00005637139,0.00001439197,0.000022814,0.00003426184,0.9956741,0.0002275292],"study_design_scores_gemma":[0.0009702866,0.0001579975,0.000745071,0.0001911426,0.000688185,0.0001203995,0.0002555191,0.0001135482,0.00001725562,0.0000484321,0.9943462,0.002345969],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000276402,0.0004198266,0.000002045553,0.0001482329,0.002836814,0.002260917,0.9888578,0.0006367753,0.004561205],"genre_scores_gemma":[0.0004290307,0.00009419234,0.0001921617,0.0006140685,0.001840838,0.0009840803,0.9913281,0.0008319042,0.003685655],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3187008,"threshold_uncertainty_score":0.9995952,"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."}}