{"id":"W4200484602","doi":"10.1177/25148486211062004","title":"Landscape plasticity and its erasure","year":2021,"lang":"en","type":"article","venue":"Environment and Planning E Nature and Space","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Racialization; Settlement (finance); State (computer science); Geography; Environmentalism; Sociology; China; Ecology; Ethnology; Politics; Political science; Archaeology; Gender studies; Law; Race (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":[0.001271646,0.0003010009,0.0003527552,0.0009485684,0.004851682,0.005403819,0.000848751,0.001253089,0.006307271],"category_scores_gemma":[0.002659285,0.0002515163,0.0002738164,0.0009459178,0.03216204,0.006527986,0.005986061,0.002849857,0.0003618657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002796079,"about_ca_system_score_gemma":0.00139439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00251995,"about_ca_topic_score_gemma":0.003558441,"domain_scores_codex":[0.9988544,0.000373578,0.00003175731,0.0003064655,0.0001861697,0.0002475994],"domain_scores_gemma":[0.9987199,0.0003461524,0.0001858452,0.0004006027,0.0001676978,0.0001798013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003312477,0.00002269639,0.003479633,0.00009388167,0.00001901238,0.0004749466,0.02911897,0.0004975869,0.000833635,0.9235693,0.003423998,0.03843319],"study_design_scores_gemma":[0.00001181349,0.00005861276,0.01428554,0.000254758,0.00002638585,0.001213452,0.02416698,0.0006725104,0.0006690803,0.6203247,0.3382612,0.00005482668],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.369883,0.02363068,0.02122001,0.0413602,0.001137503,0.00004052924,0.0001915722,0.0002122394,0.5423242],"genre_scores_gemma":[0.9922596,0.001619529,0.0009221347,0.0007336623,0.0001274739,0.00001089848,0.00002096025,0.00003304096,0.004272757],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006307271,"threshold_uncertainty_score":0.02109993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007194482759136486,"score_gpt":0.1848540118916694,"score_spread":0.1776595291325329,"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."}}