{"id":"W2174237796","doi":"10.17269/cjph.106.5086","title":"Persistence, timing and policy change: An interview with Arlene King","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Policy Transfer and Learning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Island Health; University of Victoria; Royal Jubilee Hospital","funders":"Health Canada; Pan American Health Organization; British Columbia Centre for Disease Control; Public Health Agency; Public Health Agency of Canada; World Health Organization; World Bank Group","keywords":"Persistence (discontinuity); Psychology; Computer science; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004777399,0.00007323071,0.0001870909,0.0005041819,0.0004648432,0.0002132023,0.0002174563,0.00004408885,0.00003074252],"category_scores_gemma":[0.0003999486,0.00006321684,0.00002736623,0.0004432106,0.0002096138,0.0007676528,0.00000432267,0.0002459783,0.000001547556],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006694465,"about_ca_system_score_gemma":0.01808745,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3350182,"about_ca_topic_score_gemma":0.6360566,"domain_scores_codex":[0.9982083,0.0006119633,0.0002053573,0.00009183388,0.0002290311,0.0006535595],"domain_scores_gemma":[0.9949468,0.00002793513,0.0001156517,0.00007079457,0.0002221294,0.004616676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000303699,0.00001319377,0.04797472,0.00003977996,0.00002633975,0.0000480032,0.4270002,0.00000344308,5.324641e-7,0.01573719,0.0005868452,0.5085667],"study_design_scores_gemma":[0.0005501243,0.0007064537,0.05046541,0.0002637587,0.000009557574,0.0001926251,0.1044762,0.0000326317,3.139627e-7,0.0002977935,0.8428283,0.0001768411],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5347978,0.005831386,0.001607808,0.4345474,0.0004203174,0.0002700317,0.00001200419,0.00002749533,0.02248576],"genre_scores_gemma":[0.9927635,0.0001728364,0.00036402,0.005628411,0.0009495785,0.00000116476,8.346537e-7,0.00000974997,0.000109943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8422415,"threshold_uncertainty_score":0.9874791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4398243758884788,"score_gpt":0.4096725891603287,"score_spread":0.03015178672815005,"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."}}