{"id":"W4281862163","doi":"10.1016/j.geosus.2022.05.004","title":"Geographically evaluating urban-wildland juxtapositions across 36 urban areas in the United States","year":2022,"lang":"en","type":"article","venue":"Geography and sustainability","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Reinterpretation; Metric (unit); Geography; Economic geography; Metropolitan area; Regional science; Business","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":[0.0007843875,0.0001945482,0.0001996857,0.002513641,0.0006311243,0.0008279699,0.0002762904,0.0001909258,0.0008711901],"category_scores_gemma":[0.003471428,0.0001267391,0.0001986631,0.004098088,0.0006413296,0.0005960364,0.001722169,0.0001582816,0.0001239621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007212054,"about_ca_system_score_gemma":0.0004801986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05159352,"about_ca_topic_score_gemma":0.1395595,"domain_scores_codex":[0.9994966,0.0001917967,0.00005907662,0.00009289086,0.0001116396,0.0000479527],"domain_scores_gemma":[0.9983205,0.0005891604,0.000494326,0.0001344289,0.0003307129,0.0001307448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001133999,0.00006843993,0.9624786,0.00004364773,0.00006222945,0.00008124971,0.00287501,0.004875043,0.0005032668,0.001272943,0.000645643,0.02698058],"study_design_scores_gemma":[0.000007280082,0.00008968058,0.9785195,0.00001896706,0.00003239153,0.00008015589,0.01127215,0.006618648,0.0005790948,0.0009494239,0.001813676,0.0000190829],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982061,0.00003722518,0.0003804986,0.00001559648,8.82901e-7,0.00001439642,0.0004268321,0.00000846184,0.0009099215],"genre_scores_gemma":[0.9982444,0.00003805341,0.001050889,0.000004047441,0.000001082075,0.00001987271,0.0004994478,0.000002657436,0.0001395916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05159352,"threshold_uncertainty_score":0.1025864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007827872556524252,"score_gpt":0.2542306380364754,"score_spread":0.2464027654799511,"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."}}