{"id":"W4310456606","doi":"10.12927/hcpap.2022.26963","title":"Inequity in Digital Health Planning in Canada","year":2022,"lang":"en","type":"article","venue":"A Nudge Too Far? A Nudge at All? On Paying People to Be Healthy","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics","funders":"","keywords":"Rigour; CLARITY; Equity (law); Informatics; Health informatics; Health care; Health equity; Public relations; Political science; Psychology","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":[0.006586427,0.0002687582,0.000529376,0.003395494,0.0164058,0.009168267,0.002126027,0.001454913,0.005561962],"category_scores_gemma":[0.02315282,0.0002798492,0.0005473729,0.009265085,0.006869479,0.002787797,0.006397617,0.003245107,0.00009735341],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2403568,"about_ca_system_score_gemma":0.3324804,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9971194,"about_ca_topic_score_gemma":0.9978933,"domain_scores_codex":[0.9897865,0.001281359,0.0003379329,0.0005985652,0.00481926,0.003176427],"domain_scores_gemma":[0.9867252,0.00364774,0.0006928797,0.0004247581,0.005601102,0.002908304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001113387,0.0001040105,0.093423,0.0006242774,0.0001317601,0.0005750016,0.03907626,0.002627201,0.0001893741,0.4963227,0.09363796,0.2731771],"study_design_scores_gemma":[0.00007808481,0.00007778632,0.2836863,0.002323629,0.0002999655,0.0004584699,0.07840367,0.006541513,0.001069182,0.08340855,0.5433345,0.0003183174],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3253589,0.02858415,0.00386752,0.4054491,0.001323103,0.0002198576,0.002317713,0.0001383062,0.2327414],"genre_scores_gemma":[0.9633861,0.007003997,0.002162346,0.01458677,0.0001439652,0.00005619702,0.0003246937,0.00004465478,0.01229126],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2403568,"threshold_uncertainty_score":0.8810784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05973118592711071,"score_gpt":0.3575554714577133,"score_spread":0.2978242855306026,"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."}}