{"id":"W6958978526","doi":"10.6084/m9.figshare.c.5698249","title":"Quantifying contact patterns in response to COVID-19 public health measures in Canada","year":2021,"lang":"en","type":"other","venue":"Figshare","topic":"Plant Diversity and Evolution","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public health; Residence; Pandemic; Coronavirus disease 2019 (COVID-19); Work (physics); Data collection","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":[0.001251194,0.0003341072,0.0003484074,0.002040408,0.0015835,0.001000624,0.001375818,0.0003093758,0.00154084],"category_scores_gemma":[0.006281598,0.0002185146,0.0004233786,0.004702267,0.0004187941,0.0003089978,0.001174089,0.0004405557,0.0001814838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02993663,"about_ca_system_score_gemma":0.0250979,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952859,"about_ca_topic_score_gemma":0.9954195,"domain_scores_codex":[0.9980808,0.0002654532,0.0001246351,0.0002991249,0.0007097364,0.0005201223],"domain_scores_gemma":[0.9962443,0.0004300433,0.0006604801,0.0001330465,0.002050344,0.0004818919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006707599,0.000022484,0.9859402,0.00007109713,0.00008757439,0.00004132057,0.0007375996,0.001029713,0.0001443519,0.0002154697,0.002550077,0.009092941],"study_design_scores_gemma":[0.00000429269,0.00001718524,0.9949896,0.00002901906,0.00001507905,0.00001454417,0.001130751,0.001998318,0.00008651463,0.00003954221,0.001666244,0.000008830477],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9701836,0.0008302515,0.0009894328,0.0006599455,0.00001912552,0.0001533592,0.02249314,0.00004588809,0.004625312],"genre_scores_gemma":[0.9923041,0.0003255964,0.0007726962,0.0001016521,0.000005433362,0.00005586934,0.00510342,0.000006229576,0.001324825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02993663,"threshold_uncertainty_score":0.2172065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2646914713515726,"score_gpt":0.285249950541596,"score_spread":0.02055847919002335,"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."}}