{"id":"W2131182060","doi":"10.1890/130011","title":"A more social science: barriers and incentives for scientists engaging in policy","year":2014,"lang":"en","type":"review","venue":"Frontiers in Ecology and the Environment","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; Pacific Institute for Climate Solutions","keywords":"Science policy; Competence (human resources); Incentive; Public relations; Speculation; Political science; Public engagement; Psychology; Social psychology; Business; Public administration; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.003982448,0.0001291902,0.0005205846,0.000354829,0.001365863,0.00005590588,0.000356662,0.0001838129,0.00002290159],"category_scores_gemma":[0.0003206676,0.000102014,0.00006430157,0.0002464405,0.005911916,0.00008356589,0.0002194105,0.000246386,0.000001635663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005641988,"about_ca_system_score_gemma":0.000177562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008071565,"about_ca_topic_score_gemma":0.0002272139,"domain_scores_codex":[0.9982554,0.0007585432,0.000240188,0.0002894823,0.0001282716,0.0003280941],"domain_scores_gemma":[0.9993882,0.0002510462,0.0001472592,0.0001386006,0.000005216973,0.00006966062],"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":[0.00001636388,0.00002384168,0.003959709,0.0003596764,0.00001413665,3.5371e-7,0.04840341,6.882315e-7,9.222796e-8,0.01299131,0.0001735841,0.9340568],"study_design_scores_gemma":[0.0006877769,0.000009809692,0.003437386,0.0001755595,0.00004031209,5.733052e-7,0.01127454,0.00007369718,1.795519e-8,0.002472881,0.9816964,0.0001310509],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00152553,0.9895747,0.0001706445,0.003254918,0.0007099471,0.001860043,0.00002454646,0.00001100156,0.002868613],"genre_scores_gemma":[0.006133264,0.9929296,0.0002026025,0.0001598295,0.00009871194,0.000262353,0.00001261175,0.000007743767,0.0001933081],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9815228,"threshold_uncertainty_score":0.9999342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1224085349893334,"score_gpt":0.4312206754664669,"score_spread":0.3088121404771335,"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."}}