{"id":"W4410506817","doi":"10.12927/hcpap.2025.27575","title":"What Problem Are We Trying to Solve With Artificial Intelligence for Healthcare in Canada?","year":2025,"lang":"en","type":"article","venue":"A Nudge Too Far? A Nudge at All? On Paying People to Be Healthy","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; Canadian Medical Association","funders":"","keywords":"Health care; Computer science; Artificial intelligence; Psychology; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01307135,0.0007370892,0.001341786,0.001995742,0.02055845,0.02267874,0.00378039,0.01953117,0.02038477],"category_scores_gemma":[0.03715009,0.0006270736,0.001271208,0.00422695,0.02110319,0.01999993,0.007041253,0.02268308,0.004177895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07371592,"about_ca_system_score_gemma":0.2065183,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7808111,"about_ca_topic_score_gemma":0.7892442,"domain_scores_codex":[0.9862564,0.003671405,0.00057665,0.001166396,0.003871284,0.004457857],"domain_scores_gemma":[0.9709496,0.004978387,0.001061448,0.0006416253,0.01013285,0.01223608],"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":[0.00009474752,0.0001608822,0.007058966,0.0009147713,0.0001180288,0.0007810851,0.006999582,0.0005597788,0.0002639742,0.3135283,0.547765,0.121755],"study_design_scores_gemma":[0.00007133167,0.00008775962,0.008404028,0.003232574,0.00007765009,0.0005890068,0.02673737,0.001036095,0.0003146389,0.2317561,0.7274753,0.0002180477],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001163126,0.01112172,0.0005862475,0.9768101,0.001316748,0.00001289418,0.00008648932,0.00001809163,0.008884601],"genre_scores_gemma":[0.1437876,0.09716003,0.01132543,0.7153245,0.004284424,0.0001246684,0.0005857462,0.0002003443,0.02720732],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2191889,"threshold_uncertainty_score":0.5348489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1896402034105567,"score_gpt":0.4184281717055436,"score_spread":0.2287879682949869,"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."}}