{"id":"W4296210907","doi":"10.12927/hcq.2022.26897","title":"From the Editors","year":2022,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"PricewaterhouseCoopers (Canada); CARE Canada","funders":"","keywords":"Excellence; Anticipation (artificial intelligence); Public relations; Health care; Political science; Coronavirus disease 2019 (COVID-19); Pandemic; State (computer science); Best practice; Healthcare delivery; Period (music); Management; Psychology; Medicine; Law; Economics; Computer science","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":[0.003818711,0.001883217,0.001199151,0.002277545,0.002244364,0.008707552,0.002971202,0.005357789,0.1654366],"category_scores_gemma":[0.04061193,0.0006635421,0.001026063,0.001088838,0.001279284,0.005064297,0.003019182,0.008338392,0.137039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002051119,"about_ca_system_score_gemma":0.003996719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008413999,"about_ca_topic_score_gemma":0.002057566,"domain_scores_codex":[0.9955513,0.0006386995,0.0004939259,0.0007060451,0.002210262,0.0003997539],"domain_scores_gemma":[0.972897,0.003453717,0.001301374,0.00117088,0.01543016,0.005746843],"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":[0.00001199621,0.000008136707,0.00003538529,0.0001201711,0.000002424887,0.00004909099,0.00001947774,0.00001065428,0.00005503842,0.0003491575,0.984058,0.01528047],"study_design_scores_gemma":[0.000005679577,0.00001096849,0.0001006053,0.0001666274,0.000003006515,0.0001776109,0.00003835644,0.00001591908,0.00005406051,0.0003657235,0.999055,0.000006400664],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001393797,0.007510812,0.0004262307,0.07677276,0.8945571,0.00007137976,0.0001961728,0.0002385426,0.0200876],"genre_scores_gemma":[0.002634473,0.01483633,0.0006052355,0.1083644,0.6850573,0.0001400568,0.0003751343,0.0003065216,0.1876806],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1654366,"threshold_uncertainty_score":0.5534406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04672663578300831,"score_gpt":0.4076423304890585,"score_spread":0.3609156947060501,"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."}}