{"id":"W3131347127","doi":"","title":"From NIMBY to BIMBY-Strategies for EnhancingBiodiversity in my Back Yard","year":2021,"lang":"en","type":"article","venue":"","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Yard; NIMBY; Environmental planning; Geography; Engineering; Civil engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002024869,0.000730557,0.0004980635,0.0005739596,0.001690817,0.003337313,0.001532419,0.001061059,0.01945432],"category_scores_gemma":[0.001962779,0.0003598586,0.000488184,0.00044927,0.00158473,0.00329773,0.006434739,0.002025816,0.004851338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001436894,"about_ca_system_score_gemma":0.001975482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002199806,"about_ca_topic_score_gemma":0.004424007,"domain_scores_codex":[0.999185,0.0002010783,0.00002094775,0.0001707215,0.0002409923,0.0001812495],"domain_scores_gemma":[0.9990242,0.0001466428,0.000061831,0.0002831849,0.0001306413,0.0003535351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001461753,0.0009048342,0.007779414,0.0005421103,0.0001342995,0.0005209869,0.003993881,0.007129508,0.1656018,0.3647163,0.04396218,0.4032529],"study_design_scores_gemma":[0.0001561708,0.0007717806,0.004631361,0.0001997523,0.0001250717,0.0005759221,0.003615373,0.02078494,0.1183077,0.1563843,0.6943301,0.0001175536],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2928682,0.002871486,0.4495462,0.01421179,0.001628373,0.0004030833,0.0006558443,0.01053669,0.2272785],"genre_scores_gemma":[0.6566142,0.0009935244,0.2224813,0.00336703,0.0001305824,0.000350871,0.0008612115,0.002083841,0.1131174],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01945432,"threshold_uncertainty_score":0.06508124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02326624163099637,"score_gpt":0.2867482530459901,"score_spread":0.2634820114149937,"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."}}