{"id":"W3196313383","doi":"10.1177/08404704211033002","title":"The relevance of the LEADS framework during the COVID-19 pandemic","year":2021,"lang":"en","type":"article","venue":"Healthcare Management Forum","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ducks Unlimited Canada; Royal College of Physicians and Surgeons of Canada; Canadian Paediatric Society; Canadian Cardiovascular Society; University of Manitoba; Interior Health; Canadian Thoracic Society; Royal Roads University","funders":"","keywords":"Futures studies; Context (archaeology); Relevance (law); Coronavirus disease 2019 (COVID-19); Pandemic; Hindsight bias; Health care; Adaptation (eye); 2019-20 coronavirus outbreak; Tracking (education); Psychology; Knowledge management; Public relations; Political science; Medicine; Computer science; Cognitive psychology; Artificial intelligence; History; Virology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007259285,0.0001388551,0.0002084034,0.0000409118,0.000953592,0.00001822015,0.0002581612,0.00006474294,0.00007583761],"category_scores_gemma":[0.0005432991,0.00006981398,0.0001072634,0.0005840213,0.0001407627,0.00003522103,0.0002397359,0.0004429387,0.00000977589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002658389,"about_ca_system_score_gemma":0.0002589894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002453441,"about_ca_topic_score_gemma":0.001437048,"domain_scores_codex":[0.9978344,0.0002216685,0.0005533751,0.0002681904,0.0005848727,0.000537445],"domain_scores_gemma":[0.998059,0.0004632763,0.0002603245,0.0009389324,0.0001142576,0.0001641496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002043843,0.0000560409,0.8347735,0.002994515,0.0001319992,0.00005499971,0.001083128,0.00001439311,0.00005807461,0.06447706,0.03294792,0.06320392],"study_design_scores_gemma":[0.001203314,0.0001228302,0.2844494,0.0002444043,0.00008627984,0.0001087871,0.009165747,0.00002062333,0.0001727864,0.005202659,0.6991335,0.00008963624],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2585035,0.005261888,0.00135431,0.7303087,0.00105502,0.002044842,0.00001779848,0.0001066176,0.001347289],"genre_scores_gemma":[0.940163,0.004318423,0.0003198774,0.05147792,0.0001825417,0.0001301363,0.00001489624,0.00002200318,0.003371173],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6816595,"threshold_uncertainty_score":0.7334355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04562002486303778,"score_gpt":0.3804009754755202,"score_spread":0.3347809506124824,"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."}}