{"id":"W6902626229","doi":"10.6084/m9.figshare.c.6216571.v1","title":"Public health genomics capacity assessment: readiness for large-scale pathogen genomic surveillance in Canada’s public health laboratories","year":2022,"lang":"en","type":"other","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Public Health Agency of Canada","funders":"","keywords":"Public health; Genomics; Software deployment; Prioritization; Public health surveillance; Pandemic; Genome; Focus group; Qualitative research","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":[],"consensus_categories":[],"category_scores_codex":[0.00711827,0.0002749777,0.0002301119,0.001932565,0.01382381,0.006333323,0.00193379,0.0008077075,0.01159401],"category_scores_gemma":[0.01759519,0.0002638061,0.0003779356,0.002666126,0.004859552,0.001788452,0.003824898,0.001440127,0.0003541785],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1705477,"about_ca_system_score_gemma":0.3219435,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9851043,"about_ca_topic_score_gemma":0.9906503,"domain_scores_codex":[0.994583,0.001642742,0.0001389481,0.0003331888,0.001323707,0.001978361],"domain_scores_gemma":[0.9750944,0.0076581,0.001126944,0.0004943757,0.009011846,0.006614236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000217511,0.0003193328,0.2119285,0.001494731,0.00006874908,0.001696152,0.4976444,0.002118868,0.002084095,0.03969098,0.1233876,0.1193491],"study_design_scores_gemma":[0.00001964686,0.00005914225,0.05478587,0.0007392288,0.00002500651,0.0001009191,0.8609023,0.001503068,0.0007905181,0.00216313,0.07879847,0.0001126823],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8559057,0.0008316272,0.003618199,0.04680579,0.0001911297,0.001191191,0.005251908,0.00019501,0.08600944],"genre_scores_gemma":[0.9899669,0.0003453198,0.002276962,0.001718079,0.000007791615,0.0002098199,0.0003502876,0.00002660427,0.00509834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1705477,"threshold_uncertainty_score":0.9620471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1099243466010589,"score_gpt":0.2996556776652095,"score_spread":0.1897313310641506,"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."}}