{"id":"W4391785731","doi":"10.1186/s12961-024-01105-x","title":"Production and use of rapid responses during the COVID-19 pandemic in Quebec (Canada): perspectives from evidence synthesis producers and decision makers","year":2024,"lang":"en","type":"article","venue":"Health Research Policy and Systems","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université TÉLUQ; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Université de Montréal; Université de Sherbrooke","funders":"Ministère de la Santé et des Services sociaux","keywords":"Thematic analysis; Mandate; Pandemic; Context (archaeology); Health administration; Public relations; Rigour; Health services research; Knowledge translation; Public health; Qualitative research; Coronavirus disease 2019 (COVID-19); Business; Medicine; Political science; Knowledge management; Nursing; Sociology; Infectious disease (medical specialty); Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["metaresearch"],"domain":"methods","study_design":"qualitative","genre":"empirical","about_ca_system":true,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["metaresearch","scholarly_communication"],"domain":"methods","study_design":"observational","genre":"empirical","about_ca_system":true,"about_ca_topic":true,"confidence":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.02187022,0.0001462156,0.0003625169,0.0008318358,0.001627396,0.0001310798,0.0001567634,0.00009713657,0.00001845978],"category_scores_gemma":[0.1050607,0.0001032702,0.00001453427,0.001252356,0.0005938966,0.0005048612,0.0001850215,0.0007637602,0.000002527131],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00313358,"about_ca_system_score_gemma":0.01927845,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9685695,"about_ca_topic_score_gemma":0.9036625,"domain_scores_codex":[0.9864034,0.009787234,0.001028289,0.0007258293,0.001083092,0.0009721331],"domain_scores_gemma":[0.9381976,0.05995247,0.0002448554,0.0004922944,0.0003239712,0.0007888779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002233329,0.00003608592,0.4648186,0.02634664,0.00005975309,0.00003423729,0.411018,0.0000653713,0.002963258,0.004591709,0.05111664,0.03671638],"study_design_scores_gemma":[0.0005489168,0.0001665132,0.7394044,0.007350215,0.000007566665,0.00005459464,0.1655516,0.000757137,0.0000294061,0.000373688,0.08552095,0.0002350052],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8599106,0.008559006,0.00001799722,0.1286054,0.0002019542,0.002523041,0.0001404147,0.0000313416,0.00001020531],"genre_scores_gemma":[0.9824581,0.01414111,0.00005456954,0.001588541,0.0003821862,0.0005390368,7.313416e-7,0.00001737258,0.0008183848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2745858,"threshold_uncertainty_score":0.9996724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8047349422336845,"score_gpt":0.6849288863526946,"score_spread":0.1198060558809899,"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."}}