{"id":"W6889019450","doi":"10.25318/13250011-eng","title":"Canadian COVID-19 Antibody and Health Survey, Cycle 2: Public Use Microdata File","year":2024,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microdata (statistics); Seroprevalence; Public health; Public use; Data collection; Vaccination; Public health surveillance","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":[0.001862976,0.001310651,0.001321477,0.005325783,0.002208542,0.002436788,0.003281124,0.001047909,0.1135167],"category_scores_gemma":[0.013492,0.001261739,0.0009725898,0.01897448,0.0003839508,0.001037586,0.00139586,0.001514142,0.0381016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02761676,"about_ca_system_score_gemma":0.06559128,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9789489,"about_ca_topic_score_gemma":0.9806256,"domain_scores_codex":[0.9978895,0.000159378,0.0002157709,0.0002936259,0.0009809898,0.0004607072],"domain_scores_gemma":[0.9901668,0.000739473,0.000568301,0.0006342747,0.00713378,0.0007572445],"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":[0.00002032524,0.00000738535,0.001096874,0.0001365111,0.00001092602,0.000005915355,0.00001825505,0.0001262948,0.00001035459,0.000338046,0.9969655,0.001263582],"study_design_scores_gemma":[0.0002135477,0.00001068718,0.0460966,0.0004153376,0.00003888465,0.00003177946,0.0002240021,0.0005974214,0.0001916548,0.0006200082,0.951507,0.00005312651],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005772383,0.00001044209,0.00002517005,0.00003916637,0.000006143887,0.0000199384,0.9991026,0.00003503519,0.0007038284],"genre_scores_gemma":[0.000883351,0.00005979894,0.0004038837,0.00006138961,0.000005801721,0.0002304992,0.995617,0.00005327237,0.002684973],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1135167,"threshold_uncertainty_score":0.3797513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03488857993217397,"score_gpt":0.3532127385903598,"score_spread":0.3183241586581859,"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."}}