{"id":"W3067142208","doi":"10.1139/facets-2020-0021","title":"Ten simple rules to facilitate evidence implementation in the environmental sciences","year":2020,"lang":"en","type":"article","venue":"FACETS","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Leverage (statistics); Simple (philosophy); Checklist; Reuse; Management science; Computer science; Data science; Knowledge management; Engineering ethics; Engineering; Psychology; Epistemology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2320684,0.002763284,0.002661033,0.01697702,0.005047318,0.01410027,0.006269733,0.007901911,0.01128031],"category_scores_gemma":[0.4016072,0.002981947,0.004715358,0.008334592,0.006052035,0.01087654,0.00834676,0.008035662,0.005689685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006822294,"about_ca_system_score_gemma":0.02765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005296637,"about_ca_topic_score_gemma":0.01410841,"domain_scores_codex":[0.7690789,0.09838408,0.0876181,0.006765319,0.03440438,0.003749297],"domain_scores_gemma":[0.4517831,0.3880714,0.0344144,0.02887444,0.08928046,0.007576252],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001203701,0.001047021,0.01775586,0.01884704,0.0007404564,0.002103191,0.008681052,0.007079571,0.005955025,0.162485,0.1225752,0.6515269],"study_design_scores_gemma":[0.00147147,0.0009072817,0.01454034,0.04131082,0.00138392,0.002611575,0.005272521,0.02233501,0.01793076,0.2648811,0.6262633,0.001091889],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0227707,0.00436821,0.8005561,0.03368977,0.003927069,0.04847327,0.006010664,0.0108391,0.06936504],"genre_scores_gemma":[0.01212682,0.0005520192,0.9778152,0.001324308,0.0001250883,0.005002456,0.0006969238,0.0001544577,0.00220272],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7679316,"threshold_uncertainty_score":0.9469964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05949737849770188,"score_gpt":0.3239499092991114,"score_spread":0.2644525308014095,"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."}}