{"id":"W4366334399","doi":"10.46747/cfp.6904e78","title":"Redesigning primary care","year":2023,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; North York General Hospital; Trillium Health Centre; Artificial Intelligence in Medicine (Canada); Women's College Hospital","funders":"","keywords":"Nonprobability sampling; Remuneration; Thematic analysis; Virtual patient; Flexibility (engineering); Medicine; Primary care; Qualitative research; Sample (material); Family medicine; Asynchronous communication; Nursing; Medical education; Computer science; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00008249484,0.0001147834,0.0001945803,0.0003521063,0.0001672047,0.00001248816,0.00006312108,0.00004828527,0.00000577428],"category_scores_gemma":[0.000007885478,0.0001187104,0.00005080789,0.0006773521,0.00002953898,0.00006469305,0.00001012285,0.0001375971,0.0004488296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004709437,"about_ca_system_score_gemma":0.001049724,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008400704,"about_ca_topic_score_gemma":0.003121457,"domain_scores_codex":[0.9988804,0.00001860516,0.000180925,0.0002107398,0.0001978494,0.00051152],"domain_scores_gemma":[0.999097,0.00002363564,0.00003867409,0.0002249959,0.00008372941,0.0005319663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002245515,0.00001087448,0.005229868,0.0004163303,0.00004700955,0.0003651215,0.001038061,0.000004488774,0.01169569,0.0004381251,0.4125722,0.5681597],"study_design_scores_gemma":[0.001122386,0.0002353399,0.4605524,0.000151193,0.00006050258,0.000002149308,0.008129819,0.00003449443,0.0004763981,0.0001185708,0.5289333,0.0001834724],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5197497,0.0006630713,0.00003119279,0.003152289,0.0005095197,0.0008092133,0.00009520592,0.0003788323,0.474611],"genre_scores_gemma":[0.7779086,0.00003695538,0.000262793,0.2186577,0.0007412582,0.00004627631,0.001674573,0.00004687404,0.0006250364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5679762,"threshold_uncertainty_score":0.9982024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03880128710658354,"score_gpt":0.2998623394131454,"score_spread":0.2610610523065618,"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."}}