{"id":"W6920700893","doi":"10.6084/m9.figshare.20464012","title":"Federalism, political leadership and the Covid-19 pandemic: explaining Canada’s tale of two federations","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Political Systems and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; Federalism; Government (linguistics); Pandemic; Public policy; Coronavirus disease 2019 (COVID-19)","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":[0.003129167,0.0002555501,0.0003081083,0.001835614,0.01447313,0.005390199,0.000988417,0.001077915,0.003516571],"category_scores_gemma":[0.006461414,0.0001667841,0.0003358004,0.002277422,0.01057425,0.001317783,0.002535949,0.001426427,0.0001057294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1127304,"about_ca_system_score_gemma":0.1084189,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9862489,"about_ca_topic_score_gemma":0.9928571,"domain_scores_codex":[0.9974694,0.0006607427,0.00003008423,0.00016353,0.0003918516,0.001284441],"domain_scores_gemma":[0.9967815,0.0009453198,0.0003902858,0.0001948694,0.00074049,0.0009474322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002156833,0.0001627535,0.3081922,0.0001224246,0.000075214,0.0005648013,0.1255818,0.00546299,0.0006912666,0.4963834,0.01350997,0.04903755],"study_design_scores_gemma":[0.00009503731,0.0001419795,0.4701625,0.0003714153,0.0001260676,0.0001851971,0.2989084,0.01494357,0.0006930532,0.0717646,0.1424402,0.0001679747],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.856604,0.0007060815,0.002899345,0.01919117,0.00008549463,0.0001742581,0.0003185302,0.00003865135,0.1199825],"genre_scores_gemma":[0.9970669,0.0001393569,0.0004112957,0.0002301108,0.000003654447,0.00001033245,0.00003099105,0.00000490698,0.002102414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1127304,"threshold_uncertainty_score":0.81792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1882066264794405,"score_gpt":0.3560831093122114,"score_spread":0.1678764828327709,"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."}}