{"id":"W2903574831","doi":"10.1111/ropr.12318","title":"Politics, Science, and Termination: A Case Study of Water Fluoridation Policy in Calgary in 2011","year":2018,"lang":"en","type":"article","venue":"Review of Policy Research","topic":"Policy Transfer and Learning","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Framing (construction); Water fluoridation; Politics; Political science; Public administration; Science policy; Law; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01101706,0.00007443839,0.0002681405,0.001924951,0.0003128609,0.00002664942,0.0003098783,0.00004716014,0.00006621967],"category_scores_gemma":[0.00254899,0.00005956824,0.00002172607,0.002493046,0.001804588,0.0002704757,0.0001232003,0.0002287842,0.00001338477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003362721,"about_ca_system_score_gemma":0.001781545,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4072143,"about_ca_topic_score_gemma":0.01728024,"domain_scores_codex":[0.9966281,0.001108721,0.0004351408,0.0002301242,0.0009704112,0.0006274954],"domain_scores_gemma":[0.9987622,0.0001998959,0.00003734436,0.0002256064,0.0006249334,0.0001499873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00003896812,0.001572794,0.07842694,0.007327538,0.00002359644,0.0002882865,0.515717,5.547782e-7,0.004207333,0.1440345,0.0005432698,0.2478192],"study_design_scores_gemma":[0.01126407,0.008461026,0.5465977,0.02457303,0.0001130238,0.0006372136,0.2208833,0.0005967416,0.01853012,0.02388957,0.1422669,0.002187332],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9673908,0.001131808,7.518128e-7,0.003890272,0.00001725031,0.000804257,0.000002667904,0.000005436595,0.02675677],"genre_scores_gemma":[0.9947401,0.004540511,0.00001876537,0.0001203416,0.0003505755,0.00002722382,6.602918e-7,0.000006220018,0.0001955817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4681708,"threshold_uncertainty_score":0.9642782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.123605468329242,"score_gpt":0.5322894178530488,"score_spread":0.4086839495238068,"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."}}