{"id":"W3195189200","doi":"10.18332/tpc/140786","title":"The COVID-19 pandemic has thrown the SDGs into reverse: The financial sector can play its part in the recovery by excluding tobacco","year":2021,"lang":"en","type":"article","venue":"Tobacco Prevention & Cessation","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tobacco Research Unit","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Poverty; Reversing; 2019-20 coronavirus outbreak; Political science; Economic recovery; Economic growth; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Health care; Development economics; Public administration; Economics; Medicine; Virology; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.006327832,0.0002291067,0.0002474177,0.00006475727,0.002139092,0.0006905349,0.0006941431,0.0001790341,0.000319828],"category_scores_gemma":[0.004463189,0.0001199803,0.0001549558,0.0009225077,0.0001570596,0.0007761901,0.0002401427,0.0004635715,0.0000711646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002984978,"about_ca_system_score_gemma":0.0003812644,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01403979,"about_ca_topic_score_gemma":0.04020168,"domain_scores_codex":[0.9971446,0.0007397115,0.0007427684,0.0003855088,0.0004005025,0.0005868585],"domain_scores_gemma":[0.9975547,0.001088598,0.000609064,0.000535976,0.0001800194,0.00003170958],"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":[0.00004232645,0.00005061787,0.01865673,0.0000635343,0.00002585489,0.000002342753,0.0007129044,0.001279773,0.00003719173,0.01891795,0.9484821,0.01172868],"study_design_scores_gemma":[0.0004140309,0.00001224632,0.01968025,0.00003455663,0.00003734425,0.000007828558,0.002344547,0.0004430651,0.000002767602,0.01352415,0.9633443,0.0001549485],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4286949,0.001478626,0.0008984819,0.561251,0.002231824,0.001279428,0.00001997994,0.0001094142,0.004036334],"genre_scores_gemma":[0.8465289,0.001052306,0.00001349304,0.1482082,0.002427679,0.0003332778,0.0002698813,0.00002502622,0.001141113],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4178341,"threshold_uncertainty_score":0.99916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1106029103352806,"score_gpt":0.3349683872388828,"score_spread":0.2243654769036021,"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."}}