{"id":"W22342236","doi":"","title":"Reconciling Streams and Stages:Avoiding Mixed Metaphors in the Characterization of Policy Processes","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Policy Transfer and Learning","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Metaphor; Computer science; Confluence; STREAMS; Set (abstract data type); Vocabulary; Order (exchange); Policy analysis; Corporate governance; Management science; Political science; Economics; Linguistics; Law; Management","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":[0.011524,0.001041113,0.001119731,0.004640969,0.004273298,0.01079879,0.002037073,0.003345388,0.00522662],"category_scores_gemma":[0.01970901,0.0007800002,0.001590077,0.00405362,0.03119245,0.03060703,0.01086069,0.005780709,0.0005636173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006267882,"about_ca_system_score_gemma":0.004507441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002832209,"about_ca_topic_score_gemma":0.002483389,"domain_scores_codex":[0.9894556,0.008104895,0.0002824999,0.000690554,0.0009339676,0.0005324399],"domain_scores_gemma":[0.9903087,0.006794909,0.0008254244,0.001137026,0.0005109024,0.0004229999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001710078,0.000006383457,0.0002408364,0.00003484124,0.00000429441,0.00004148389,0.005962886,0.0006042497,0.00007122256,0.9893595,0.0002678331,0.003389399],"study_design_scores_gemma":[0.00001303609,0.00002018388,0.0001756951,0.00006327509,0.000008208408,0.0000727207,0.003945026,0.004099213,0.0001465203,0.9774123,0.014031,0.000012835],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0741284,0.003463383,0.7540416,0.02167434,0.0004489593,0.0003271682,0.0001833993,0.0003522136,0.1453807],"genre_scores_gemma":[0.9050568,0.001141503,0.0863628,0.0008409873,0.0001348583,0.0005311636,0.0000716717,0.0001602232,0.005699959],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.011524,"threshold_uncertainty_score":0.06094551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0149461803982375,"score_gpt":0.2840383757290746,"score_spread":0.2690921953308371,"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."}}