{"id":"W3080795534","doi":"10.1097/cxa.0000000000000092","title":"COVID-19 and the Seeds of Unrest","year":2020,"lang":"en","type":"article","venue":"The Canadian Journal of Addiction","topic":"Disaster Response and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Racism; Redress; Unrest; Population; Unemployment; Oppression; Demography; Pandemic; Medicine; Criminology; Coronavirus disease 2019 (COVID-19); History; Economic growth; Sociology; Political science; Law; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.006628677,0.001135718,0.0008978383,0.002834505,0.01471844,0.02912536,0.00185566,0.008996106,0.05371189],"category_scores_gemma":[0.03322149,0.0007043063,0.0007809354,0.001207964,0.01185802,0.009034212,0.008577408,0.01792495,0.01740184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008790913,"about_ca_system_score_gemma":0.009657252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008661263,"about_ca_topic_score_gemma":0.0162593,"domain_scores_codex":[0.9913133,0.002633152,0.0005094564,0.001082512,0.00268056,0.001781019],"domain_scores_gemma":[0.9770596,0.00735689,0.001380514,0.001453681,0.005957319,0.006791981],"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":[0.00001393667,0.000007301245,0.0001062692,0.00007796139,0.000003499136,0.0002017823,0.001470678,0.000008642226,0.00002571276,0.01495578,0.976043,0.007085366],"study_design_scores_gemma":[0.000002567836,0.000004483373,0.00009197113,0.000230058,0.000001566083,0.00009809491,0.001435817,0.000006986856,0.00002427929,0.001432239,0.9966632,0.000008708561],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001386044,0.03060221,0.000288378,0.5361254,0.2778519,0.0000309909,0.0001653614,0.0002675421,0.1532821],"genre_scores_gemma":[0.06060847,0.02265457,0.0005138594,0.3681425,0.2366643,0.000149949,0.0004131143,0.00141653,0.3094368],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05371189,"threshold_uncertainty_score":0.1796842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07707058921645663,"score_gpt":0.3617686352420185,"score_spread":0.2846980460255619,"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."}}