{"id":"W2006991000","doi":"10.1017/s0008423906329988","title":"Why Policy Issue Networks Matter: The Advanced Technology Program and the Manufacturing Extension Partnership","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Political Science","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"General partnership; Argument (complex analysis); Extension (predicate logic); State (computer science); Government (linguistics); Technology policy; Politics; Outcome (game theory); Political science; Public administration; Law and economics; Economics; Sociology; Law; Computer science; Microeconomics; Social science","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":[0.009031753,0.0004013245,0.0003873215,0.00173806,0.01338695,0.02647795,0.001281414,0.0160299,0.01183493],"category_scores_gemma":[0.02033277,0.0005915335,0.0003426389,0.005187431,0.01955239,0.038702,0.005913339,0.008606479,0.001385838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0104672,"about_ca_system_score_gemma":0.01164635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02664211,"about_ca_topic_score_gemma":0.04643852,"domain_scores_codex":[0.9922596,0.004688427,0.0001357112,0.0004699939,0.001205625,0.001240724],"domain_scores_gemma":[0.9902957,0.006409754,0.0008681316,0.0001542637,0.0008771244,0.001394925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003523291,0.00007129239,0.003156444,0.0001778326,0.00001203086,0.0003375502,0.02824017,0.0002197951,0.00007391846,0.8051385,0.1288411,0.03369607],"study_design_scores_gemma":[0.00003731934,0.00003260254,0.00735087,0.001019559,0.0000194656,0.0003105216,0.08934175,0.0004225862,0.0001568251,0.432882,0.4683774,0.00004910313],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01124301,0.0507275,0.0006903259,0.8829728,0.0008258203,0.00001445365,0.00004415771,0.00001297656,0.05346896],"genre_scores_gemma":[0.7478301,0.09094165,0.001566643,0.1178013,0.00245477,0.0001376279,0.0001219672,0.0001045543,0.03904142],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02664211,"threshold_uncertainty_score":0.0759452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006125227483494989,"score_gpt":0.215827255255741,"score_spread":0.209702027772246,"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."}}