{"id":"W2890449507","doi":"10.1038/s41893-018-0141-x","title":"Cross-discipline evidence principles for sustainability policy","year":2018,"lang":"en","type":"article","venue":"Nature Sustainability","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":72,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"National Institutes of Health","keywords":"Sustainability; Engineering ethics; Cross disciplinary; Management science; Evidence-based practice; Political science; Knowledge management; Computer science; Data science; Engineering; Medicine; Ecology; Alternative medicine","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001804976,0.0003371814,0.0003118118,0.0000541306,0.0008592063,0.0001241334,0.0006707604,0.0004838656,0.001019598],"category_scores_gemma":[0.00842029,0.0002908529,0.0002287638,0.0006227365,0.002297092,0.0008446071,0.0009446485,0.0005182815,0.00004688064],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007042455,"about_ca_system_score_gemma":0.0003944265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008510551,"about_ca_topic_score_gemma":0.0003625673,"domain_scores_codex":[0.9968237,0.0001691057,0.0004657739,0.0009125223,0.0006016479,0.00102724],"domain_scores_gemma":[0.9980006,0.000338397,0.000176608,0.0008847313,0.0002775428,0.0003220736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003403877,0.0004499027,0.9816889,0.0002035998,0.00001844566,0.000004177175,0.001233203,0.0001566606,0.0003404273,0.004658694,0.0006721074,0.01023352],"study_design_scores_gemma":[0.0004396358,0.0003941156,0.8488817,0.00001017397,0.00001795657,0.000002183377,0.0009577452,0.0002591998,0.001304653,0.1225595,0.02482553,0.0003475666],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844831,0.00007449341,0.0008898997,0.00747832,0.0002456989,0.002076984,0.00003836451,0.0001220813,0.004591058],"genre_scores_gemma":[0.9913831,0.000007358954,0.001056289,0.0006229234,0.0006365718,0.0001750974,0.00001336599,0.00003039435,0.006074884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1328072,"threshold_uncertainty_score":0.9999543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01654909231041134,"score_gpt":0.394643017201944,"score_spread":0.3780939248915327,"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."}}