{"id":"W4411071429","doi":"10.1080/17410541.2025.2515000","title":"Clarifying a working definition for ‘precision communication’: a scoping review of medical literature on communication","year":2025,"lang":"en","type":"review","venue":"Personalized Medicine","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Children's Hospital; McGill University; McGill University Health Centre","funders":"","keywords":"Risk communication; Computer science; Data science; Management science; Medicine; Engineering ethics; Psychology; Risk analysis (engineering); Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004455413,0.0004193475,0.002819818,0.0005929882,0.0002729099,0.00001940891,0.0005793564,0.0008724605,0.0004867598],"category_scores_gemma":[0.01281263,0.0003117205,0.0005776568,0.001201102,0.000286927,0.0000613915,0.0001019413,0.001348867,0.00001173521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003094677,"about_ca_system_score_gemma":0.002177015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008013376,"about_ca_topic_score_gemma":0.00002798126,"domain_scores_codex":[0.9951659,0.0007389135,0.002190475,0.0004828525,0.001121752,0.0003000352],"domain_scores_gemma":[0.9894595,0.007126703,0.001093051,0.001289632,0.0008011062,0.0002300028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00005867491,0.00007788299,0.000001597904,0.4075007,0.00006024629,0.000001460724,0.0006230801,1.651171e-8,1.022172e-7,0.002436279,0.003510418,0.5857295],"study_design_scores_gemma":[0.0001873532,0.0001672701,2.622846e-7,0.709035,0.00113763,0.00004092793,0.0001679587,0.00001402256,0.000001643997,0.0005695489,0.2885453,0.0001330783],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[8.041099e-7,0.9780253,0.0007349348,0.01356905,0.0003649287,0.004886982,0.00002074101,0.00005552362,0.002341739],"genre_scores_gemma":[0.0000102421,0.9867738,0.0027508,0.00443625,0.0004525748,0.001274241,0.004007673,0.00004750706,0.0002469394],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5855965,"threshold_uncertainty_score":0.9999335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5073701667384327,"score_gpt":0.5820736524106253,"score_spread":0.07470348567219254,"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."}}