{"id":"W2111255626","doi":"10.1093/scipol/sct004","title":"Managing the environmental science-policy nexus in government: Perspectives from public servants in Canada and Australia","year":2013,"lang":"en","type":"article","venue":"Science and Public Policy","topic":"Public Policy and Administration Research","field":"Social Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Hickey; Natural resource; Nexus (standard); Government (linguistics); Library science; Resource (disambiguation); Sociology; Political science; History; Art history; Engineering; Computer science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"qualitative","genre":"empirical","about_ca_system":true,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["sts"],"domain":null,"study_design":"qualitative","genre":"empirical","about_ca_system":true,"about_ca_topic":true,"confidence":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.006765187,0.0003761351,0.0006192279,0.001686232,0.04250365,0.0124216,0.001751167,0.002932064,0.001803933],"category_scores_gemma":[0.01009551,0.0005062963,0.0003455893,0.003080188,0.02110247,0.002778567,0.008115637,0.005895482,0.0001728115],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06292153,"about_ca_system_score_gemma":0.09636446,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9116079,"about_ca_topic_score_gemma":0.9554909,"domain_scores_codex":[0.9901321,0.003118746,0.0002410408,0.0004011708,0.001613835,0.004493078],"domain_scores_gemma":[0.98541,0.004197672,0.001303229,0.000220022,0.002580596,0.006288521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001527341,0.0000526285,0.01078267,0.00003745808,0.000004673348,0.0007125251,0.9804443,0.00006984728,0.0003492301,0.002814426,0.000965392,0.003751492],"study_design_scores_gemma":[0.000001610357,0.00001835384,0.00478009,0.00003398227,0.00000337435,0.00007446473,0.9865024,0.00007667472,0.00007053428,0.0002344097,0.008193482,0.00001066708],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821991,0.000370629,0.0001452004,0.009751979,0.00002749237,0.00002700055,0.00001364946,0.00000462003,0.007460245],"genre_scores_gemma":[0.995606,0.0004405421,0.0001362037,0.001493571,0.00001002487,0.000009339067,0.00001007203,0.000006224863,0.002288107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9574963,"threshold_uncertainty_score":0.4565298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04101020866959224,"score_gpt":0.3345019595089617,"score_spread":0.2934917508393694,"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."}}