{"id":"W6931946231","doi":"10.5683/sp3/laeq5l","title":"SARS-CoV-2 Seroprevalence in Canada","year":2024,"lang":"en","type":"dataset","venue":"Borealis","topic":"Healthcare professionals’ stress and burnout","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Seroprevalence; Population; Multilevel model; Bayesian probability; Stratified sampling","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000625405,0.0004622151,0.0007902425,0.0002529483,0.0003232279,0.00001498418,0.0007524355,0.0007863754,0.0005060796],"category_scores_gemma":[0.0003117057,0.0003747613,0.00008818322,0.0003527025,0.00003923573,0.00006891601,0.0004776786,0.003517576,0.0009426416],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002256045,"about_ca_system_score_gemma":0.02044986,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9996336,"about_ca_topic_score_gemma":0.999938,"domain_scores_codex":[0.9952983,0.0008177576,0.001230815,0.000724194,0.0007908956,0.001137987],"domain_scores_gemma":[0.9976379,0.0005856634,0.0003381373,0.001055596,0.0001774194,0.0002052689],"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":[0.00002099102,0.00002105077,0.001079116,0.004849493,0.00002146033,0.0004588752,0.0001029613,4.652058e-7,0.000004497661,0.00002183703,0.9922669,0.00115238],"study_design_scores_gemma":[0.0002109332,0.00001563827,0.001820293,0.01344569,0.00003532133,0.000002752839,0.0004230611,0.00002543648,0.000007761225,0.0001622176,0.9834864,0.0003645357],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003804092,0.003430223,2.714301e-7,0.003985281,0.002967789,0.0009569114,0.9872333,0.00005209772,0.0009936485],"genre_scores_gemma":[0.0001765023,0.004504326,0.0000218733,0.00750313,0.0009008539,0.0004886001,0.9860166,0.00005611442,0.0003320451],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01819381,"threshold_uncertainty_score":0.9998704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07334795686477058,"score_gpt":0.4279267144674036,"score_spread":0.354578757602633,"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."}}