{"id":"W6963871852","doi":"10.23668/psycharchives.5360","title":"COVID-19 Snapshot Monitoring in Canada (COSMO Canada): Monitoring Citizens’ Perceptions, Knowledge, and Behaviours relating to the Pandemic (Part II)","year":2022,"lang":"en","type":"article","venue":"Psychology Archives","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Snapshot (computer storage); Pandemic; Data collection; Thematic analysis; Public health; Context (archaeology); Coronavirus disease 2019 (COVID-19); Public health surveillance; Government (linguistics)","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":[0.003343954,0.0005572184,0.0004989055,0.002127936,0.006670688,0.002338353,0.002035499,0.000563381,0.003602325],"category_scores_gemma":[0.004710941,0.0007720628,0.0005703568,0.003995831,0.0008810229,0.0007502518,0.00264082,0.001771653,0.0005969318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0604464,"about_ca_system_score_gemma":0.1790502,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9971413,"about_ca_topic_score_gemma":0.998798,"domain_scores_codex":[0.9980849,0.0002685167,0.00008610595,0.000188167,0.0007907489,0.000581501],"domain_scores_gemma":[0.9936033,0.0002568218,0.0004041696,0.0002261524,0.003827504,0.001682168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007144635,0.0007792159,0.6851042,0.0009809433,0.0002235573,0.0002492725,0.01541661,0.0008661844,0.001457173,0.003311988,0.1706025,0.1202939],"study_design_scores_gemma":[0.00007790103,0.0001393868,0.9379559,0.000297424,0.00004159923,0.0000379246,0.007369721,0.0005118371,0.0006068961,0.0001873697,0.05269827,0.00007571402],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7452554,0.003179586,0.004395761,0.01009172,0.0003824667,0.009390739,0.1760817,0.0003909781,0.05083172],"genre_scores_gemma":[0.8784369,0.003535338,0.01732896,0.004234714,0.0001181338,0.007383816,0.05414569,0.0001276072,0.03468889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0604464,"threshold_uncertainty_score":0.4385713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2195179741560322,"score_gpt":0.435980395096953,"score_spread":0.2164624209409207,"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."}}