{"id":"W4399913125","doi":"10.1016/j.geoforum.2024.104069","title":"What does a just transition mean for urban biodiversity? Insights from three cities globally","year":2024,"lang":"en","type":"article","venue":"Geoforum","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Future Earth","funders":"British Academy","keywords":"Biodiversity; Context (archaeology); Livelihood; Geography; Economic growth; Environmental planning; Environmental resource management; Political science; Sociology; Ecology; Agriculture; Economics; Biology","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":[0.002267414,0.0005400626,0.000545592,0.002859531,0.007290872,0.005288388,0.001226099,0.001545361,0.00452984],"category_scores_gemma":[0.002417343,0.000326185,0.0005822307,0.006430753,0.00759344,0.009576299,0.01045296,0.002839883,0.0002999275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01062933,"about_ca_system_score_gemma":0.004616581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09245955,"about_ca_topic_score_gemma":0.308847,"domain_scores_codex":[0.9985916,0.0005792688,0.00005611685,0.0001768116,0.0001662126,0.0004301018],"domain_scores_gemma":[0.9979815,0.0009142672,0.0002615915,0.0001432247,0.0002631511,0.0004361827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003878486,0.00006564652,0.04272177,0.0003401871,0.00002442867,0.001494449,0.9053564,0.0004570147,0.0004597752,0.02626675,0.003643445,0.01913133],"study_design_scores_gemma":[0.000003078467,0.00002359301,0.02794844,0.0001967127,0.00001664408,0.000111562,0.9520119,0.0001697105,0.0001076078,0.002653603,0.0167393,0.00001789989],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9614071,0.0008512465,0.0007663082,0.008100051,0.00002853624,0.00006287479,0.0002734964,0.00001372934,0.02849655],"genre_scores_gemma":[0.9960705,0.0008003871,0.0003795582,0.0008215226,0.000005899447,0.00005959822,0.0001897452,0.00001861347,0.001654054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09245955,"threshold_uncertainty_score":0.1838428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01096759199633845,"score_gpt":0.1960093321476044,"score_spread":0.1850417401512659,"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."}}