{"id":"W7055104392","doi":"","title":"Being Heard: Strategies and Tactics of Public Policy","year":2007,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public policy; Economic Justice; Human rights; Social policy; Social justice","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02275944,0.0008071155,0.0006999957,0.004474774,0.02534308,0.03072288,0.002707063,0.01452412,0.02656814],"category_scores_gemma":[0.05181334,0.000701672,0.0004056074,0.004665329,0.03936722,0.01191913,0.01092755,0.01329389,0.002207853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01672366,"about_ca_system_score_gemma":0.02305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09075348,"about_ca_topic_score_gemma":0.1124963,"domain_scores_codex":[0.9813372,0.009837294,0.0002942048,0.001059523,0.003428226,0.004043567],"domain_scores_gemma":[0.9662643,0.02379328,0.001655969,0.001271925,0.002775467,0.004239102],"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":[0.00003802306,0.00006874817,0.001216158,0.00008624385,0.00001299088,0.0003126825,0.08224111,0.0001320904,0.0002161165,0.8125725,0.07004751,0.03305588],"study_design_scores_gemma":[0.0000664265,0.00003077393,0.001775125,0.0004297856,0.00002643849,0.0001341865,0.1312225,0.0004116446,0.0003084434,0.2264698,0.6390845,0.00004037541],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02294459,0.003954708,0.003358071,0.3331678,0.001232079,0.000118404,0.00004531475,0.00007479401,0.6351042],"genre_scores_gemma":[0.7887595,0.00283372,0.001700724,0.04883135,0.001168176,0.0002788375,0.00004661822,0.0001957653,0.1561853],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09075348,"threshold_uncertainty_score":0.1804505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008240124215850223,"score_gpt":0.198150073532274,"score_spread":0.1899099493164237,"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."}}