{"id":"W4327637185","doi":"10.1017/9781580466646.002","title":"A Match Made in Heaven?","year":2006,"lang":"en","type":"other","venue":"","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Public health; State (computer science); Political science; Government (linguistics); Politics; Public administration; Economic growth; Law; Medicine; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003220399,0.0004489917,0.0005193442,0.001509909,0.009441871,0.01108645,0.001013153,0.007870043,0.02490712],"category_scores_gemma":[0.005789994,0.000233039,0.0003061733,0.001634898,0.02295834,0.022277,0.005730782,0.009636155,0.002913072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006470373,"about_ca_system_score_gemma":0.007393857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01631279,"about_ca_topic_score_gemma":0.01881284,"domain_scores_codex":[0.9978968,0.0009615453,0.00003796036,0.0003279393,0.0002488667,0.0005268909],"domain_scores_gemma":[0.9975697,0.0008494164,0.000213756,0.0001171722,0.0002481127,0.001001863],"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":[0.00007524512,0.00009607352,0.002795832,0.0002370812,0.00001831517,0.0003796288,0.01309398,0.00005225315,0.0001045349,0.4455846,0.4498262,0.08773622],"study_design_scores_gemma":[0.00001724073,0.00004613582,0.003350301,0.001079953,0.00001398957,0.0004752257,0.04942352,0.00008549017,0.00009860168,0.1919317,0.7534488,0.00002903745],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003385299,0.03708083,0.0003881949,0.9137693,0.005932732,0.000007645366,0.00006402882,0.000035532,0.0393364],"genre_scores_gemma":[0.3940688,0.07027366,0.00184587,0.4422924,0.01456812,0.00008809195,0.0001804539,0.0001281177,0.07655453],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02490712,"threshold_uncertainty_score":0.08332258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02106874908123441,"score_gpt":0.2805913087202273,"score_spread":0.2595225596389929,"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."}}