{"id":"W2526598543","doi":"","title":"Imagining EA 2.0: Outcomes of the 2016 Federal Environmental Assessment Reform Summit","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Strategic environmental assessment; Accountability; Summit; Sustainability; Transparency (behavior); Political science; Environmental planning; Credibility; Environmental impact assessment; Harmonization; Environmental resource management; Business; Public administration; Geography; Economics","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":[0.03050201,0.0006183093,0.0005663853,0.00158123,0.01911596,0.01509984,0.001959863,0.005661177,0.006029985],"category_scores_gemma":[0.04106618,0.0003014716,0.0005429271,0.001952797,0.007478139,0.003627982,0.01055841,0.007916327,0.001130558],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07876118,"about_ca_system_score_gemma":0.1127946,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8221361,"about_ca_topic_score_gemma":0.9301381,"domain_scores_codex":[0.9770728,0.006355763,0.0002717932,0.0006752927,0.008204239,0.00742018],"domain_scores_gemma":[0.981895,0.003001041,0.0004093756,0.000632133,0.00769966,0.006362837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004514949,0.0006899547,0.009602473,0.0003142662,0.00005038301,0.0007111956,0.05021933,0.002731141,0.0009843506,0.1514176,0.6603141,0.1225137],"study_design_scores_gemma":[0.00008156987,0.0002024724,0.02806992,0.0003325078,0.00003194188,0.00003931047,0.05810459,0.0009287349,0.00159677,0.01912087,0.8913293,0.0001619861],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1487948,0.004679891,0.001776658,0.395102,0.005866717,0.0003831005,0.002734017,0.0004287185,0.4402341],"genre_scores_gemma":[0.8515336,0.002031035,0.002308726,0.04514736,0.0007174841,0.0003425719,0.002445404,0.0002164957,0.09525733],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9212388,"threshold_uncertainty_score":0.571455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005619389472086868,"score_gpt":0.2515320663719351,"score_spread":0.2459126768998483,"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."}}