{"id":"W3044934542","doi":"10.17269/s41997-020-00379-2","title":"Extraordinary times call for extraordinary measures: the use of music to communicate public health recommendations against the spread of COVID-19","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Music Therapy and Health","field":"Psychology","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Pandemic; Public health; Context (archaeology); Relevance (law); Government (linguistics); Public relations; Population; Coronavirus disease 2019 (COVID-19); Perspective (graphical); Psychology; Political science; Medicine; Geography; Environmental health; Computer science; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02859431,0.0005193939,0.0005604965,0.002859993,0.007454115,0.009281215,0.002565849,0.01745948,0.01589138],"category_scores_gemma":[0.1864357,0.0005744743,0.0006290301,0.001307421,0.007084149,0.005884917,0.007233466,0.01742746,0.002542267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005087265,"about_ca_system_score_gemma":0.01745293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04884383,"about_ca_topic_score_gemma":0.09650885,"domain_scores_codex":[0.9720258,0.01906706,0.001432525,0.0007017274,0.00509449,0.001678287],"domain_scores_gemma":[0.888153,0.07010245,0.01231041,0.00384623,0.012266,0.01332194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003203684,0.0003833647,0.0225813,0.0004463075,0.000175265,0.001196151,0.02083987,0.0001952293,0.0009202376,0.01531486,0.6410009,0.2966262],"study_design_scores_gemma":[0.0003321489,0.0005119516,0.08030014,0.005850517,0.0002795485,0.001142399,0.07752742,0.001342053,0.001427033,0.03477379,0.7960491,0.0004638539],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01146021,0.003529774,0.000960861,0.9561708,0.006702206,0.00004621446,0.00009640928,0.0001072669,0.0209262],"genre_scores_gemma":[0.4245024,0.01118289,0.009770525,0.5155557,0.01781385,0.0002927428,0.0002658399,0.0002848069,0.02033117],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04884383,"threshold_uncertainty_score":0.1512229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5317421898229399,"score_gpt":0.4219999222778212,"score_spread":0.1097422675451187,"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."}}