{"id":"W4285014140","doi":"10.1111/tran.12563","title":"Placing the more‐than‐human in environmental gentrification","year":2022,"lang":"en","type":"article","venue":"Transactions of the Institute of British Geographers","topic":"Geographies of human-animal interactions","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Gentrification; Scholarship; Sociology; Generative grammar; Natural (archaeology); Politics; Commons; Environmental ethics; Economic geography; Political science; Geography; Economic growth; Economics; Computer science; Law","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003372698,0.0003135719,0.0004243687,0.001256391,0.005225457,0.009754018,0.0008880774,0.002253309,0.005630911],"category_scores_gemma":[0.002910248,0.0002454369,0.0003622886,0.001130913,0.0670536,0.007409538,0.01188187,0.003236231,0.0001984998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007191387,"about_ca_system_score_gemma":0.004438847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01034612,"about_ca_topic_score_gemma":0.02136058,"domain_scores_codex":[0.9970323,0.001793021,0.00003886935,0.0002933477,0.0003136889,0.0005288377],"domain_scores_gemma":[0.9976202,0.001116728,0.0002355007,0.0004538936,0.0002380884,0.0003355969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000008229731,0.000005758273,0.00080169,0.00002368489,0.00000562373,0.00004788753,0.005977989,0.0003792727,0.00009360734,0.9902459,0.0003383168,0.002071877],"study_design_scores_gemma":[0.000009009197,0.00001746688,0.002508617,0.0001044109,0.00001613967,0.00007014969,0.02389875,0.0009503738,0.0004046348,0.8965774,0.07541928,0.0000238382],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4648108,0.00621919,0.03751852,0.06160562,0.0005200343,0.00002789147,0.00009359216,0.00008301697,0.4291215],"genre_scores_gemma":[0.9973273,0.0002764027,0.0004115676,0.0004081806,0.00003221612,0.00000398438,0.000006328008,0.00001076705,0.001523205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01034612,"threshold_uncertainty_score":0.05217743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01440817275240986,"score_gpt":0.25876905715756,"score_spread":0.2443608844051502,"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."}}