{"id":"W2802679538","doi":"10.1139/facets-2017-0104","title":"Cross-sectoral input for the potential role of science in Canada’s environmental assessment","year":2018,"lang":"en","type":"article","venue":"FACETS","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Simon Fraser University; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Rigour; Transparency (behavior); Government (linguistics); Independence (probability theory); Political science; Public administration; Uncertainty; Public relations; Public economics; Accounting; Business; Economics; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000349724,0.000134026,0.0001380072,0.00002387363,0.0003920362,0.00003474726,0.0005260739,0.0000362631,0.002071082],"category_scores_gemma":[0.00001324019,0.0001029626,0.0000457806,0.0001513161,0.001730706,0.0002860514,0.0003550541,0.0001012745,0.000033718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001782908,"about_ca_system_score_gemma":0.0002562528,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4077961,"about_ca_topic_score_gemma":0.3749554,"domain_scores_codex":[0.9983258,0.00002669679,0.0002421765,0.000289325,0.0006709615,0.0004451011],"domain_scores_gemma":[0.9995069,0.00003678187,0.0001052662,0.0002422212,0.000003447863,0.0001054197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001554424,0.00007829247,0.8450034,0.000001532563,0.000005616088,8.856934e-7,0.0003006075,0.0005117694,0.1487486,0.00001580847,0.0001460453,0.005171866],"study_design_scores_gemma":[0.0003922117,0.00009590155,0.9777586,0.000003101498,0.000006347226,0.000001525981,0.0008282143,0.00341227,0.01543265,0.0001670267,0.001779829,0.0001223436],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963633,0.00002083462,0.0001420927,0.0001029743,0.0003702003,0.0003933701,0.00007596257,0.000004946308,0.002526283],"genre_scores_gemma":[0.9990086,0.000008837519,0.0004246252,0.000159338,0.00005596405,0.00002775404,0.000006106749,0.00001142715,0.0002973542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1333159,"threshold_uncertainty_score":0.9988412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008336426611475637,"score_gpt":0.281268920540754,"score_spread":0.2729324939292783,"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."}}