{"id":"W1997447652","doi":"10.1093/scipol/sct022","title":"Environmental science and public policy in Executive government: Insights from Australia and Canada","year":2013,"lang":"en","type":"article","venue":"Science and Public Policy","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Cabinet (room); Public administration; Government (linguistics); Public policy; Public relations; Accountability; Science policy; Political science; Exploratory research; Obligation; Sociology; Social science; Law; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006072797,0.0002770604,0.0006183726,0.002259206,0.03294412,0.01087819,0.001591468,0.002501134,0.003859046],"category_scores_gemma":[0.01524874,0.0004109085,0.0002819628,0.005927301,0.01218611,0.003229525,0.007084582,0.004573333,0.0001874359],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1433257,"about_ca_system_score_gemma":0.217633,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9884878,"about_ca_topic_score_gemma":0.9946389,"domain_scores_codex":[0.9905782,0.002260108,0.0002021874,0.0004057125,0.002765316,0.003788419],"domain_scores_gemma":[0.9867056,0.005723519,0.0006874008,0.0002567102,0.003167629,0.003459159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007133398,0.0002069147,0.02813222,0.0001587346,0.00002221803,0.002198745,0.8866912,0.0005692357,0.0004720766,0.04597221,0.009502081,0.026003],"study_design_scores_gemma":[0.00001097244,0.00002730214,0.02698037,0.0001567146,0.00001330576,0.0001489922,0.867844,0.0003726484,0.000157974,0.002364167,0.1018859,0.000037519],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8695723,0.00171722,0.0002958337,0.02864227,0.00006180355,0.00009588172,0.00009765484,0.00001206129,0.09950504],"genre_scores_gemma":[0.9849132,0.001346127,0.0002361514,0.002256989,0.000011636,0.00002487748,0.00004082146,0.00001241847,0.01115773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8566743,"threshold_uncertainty_score":0.9936208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0131263418183519,"score_gpt":0.253335205401446,"score_spread":0.2402088635830941,"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."}}