{"id":"W4402806647","doi":"10.3390/land13091491","title":"Measuring Change in Urban Land Consumption: A Global Analysis","year":2024,"lang":"en","type":"article","venue":"Land","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University; Lincoln Institute of Land Policy","keywords":"Land use, land-use change and forestry; Land use; Consumption (sociology); Geography; Environmental resource management; Environmental science; Natural resource economics; Environmental planning; Business; Economics; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001783956,0.000578378,0.0004862795,0.00406222,0.0003099659,0.001253314,0.0003356631,0.0003173511,0.001747465],"category_scores_gemma":[0.002415528,0.000233069,0.000873895,0.01656763,0.001035297,0.001960099,0.001653639,0.0005402358,0.000279778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008697109,"about_ca_system_score_gemma":0.0003769695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00636036,"about_ca_topic_score_gemma":0.008389338,"domain_scores_codex":[0.9989651,0.0003621019,0.00008053162,0.0002642967,0.0002442918,0.00008373533],"domain_scores_gemma":[0.9988558,0.000334008,0.0002281461,0.0002351096,0.0002995325,0.00004730993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001053491,0.00006553106,0.7271907,0.001087459,0.0008774467,0.0002472772,0.002750062,0.02830433,0.003091828,0.02135928,0.007111461,0.2078093],"study_design_scores_gemma":[0.000007226959,0.0001464498,0.9240669,0.0002310192,0.0002669735,0.0002945339,0.003530992,0.0160842,0.001485559,0.008667812,0.04516374,0.00005456571],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8926771,0.007073452,0.04548881,0.002327805,0.0001541872,0.000156932,0.01447425,0.000264986,0.03738248],"genre_scores_gemma":[0.9718966,0.002127437,0.01786724,0.0002139303,0.00007418618,0.0001341903,0.006463915,0.0001285642,0.001093991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00636036,"threshold_uncertainty_score":0.01264668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03714965293537272,"score_gpt":0.2477655537222054,"score_spread":0.2106159007868327,"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."}}