{"id":"W1991864405","doi":"10.12927/hcpap..18998","title":"Harnessing Collaborative Technology to Accelerate Achievement of Chronic Disease Management Objectives for Canada","year":2007,"lang":"en","type":"letter","venue":"A Nudge Too Far? A Nudge at All? On Paying People to Be Healthy","topic":"Diabetes Management and Education","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Medtronic (Canada)","funders":"","keywords":"Software deployment; Process management; Action (physics); Key (lock); Investment (military); Health care; Chronic disease; Business; Knowledge management; Engineering management; Medicine; Engineering; Computer science; Political science; Intensive care medicine; Computer security","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":[0.004722745,0.0004480086,0.0005350888,0.0006939192,0.01014384,0.004550887,0.001922223,0.0273479,0.006275692],"category_scores_gemma":[0.01966045,0.0003941921,0.0007797758,0.0008376337,0.004285812,0.002961987,0.002137047,0.02406356,0.001435717],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0369944,"about_ca_system_score_gemma":0.05270482,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7539302,"about_ca_topic_score_gemma":0.8872992,"domain_scores_codex":[0.994902,0.001003884,0.0003283525,0.0003116789,0.002248659,0.001205308],"domain_scores_gemma":[0.987085,0.00446167,0.000386637,0.0002873678,0.00435547,0.003423886],"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":[0.00003452063,0.00004867813,0.002474073,0.00006488211,0.00001913939,0.002172105,0.0008742837,0.0002103689,0.0002705121,0.007129676,0.9594134,0.02728845],"study_design_scores_gemma":[0.000162348,0.0000863015,0.005899038,0.0003470671,0.00004437246,0.001812985,0.003803324,0.0015752,0.0003754641,0.0104797,0.9752821,0.0001321239],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001106361,0.001007066,0.000177495,0.9877825,0.002377671,0.00002121753,0.00002623831,0.00002292502,0.007478388],"genre_scores_gemma":[0.03508042,0.002702917,0.001090343,0.9393387,0.005039022,0.00005898075,0.00004530067,0.00003530382,0.01660903],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9630056,"threshold_uncertainty_score":0.4950379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02706380415086735,"score_gpt":0.3284489287768578,"score_spread":0.3013851246259904,"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."}}