{"id":"W4316664152","doi":"10.3390/land12010262","title":"Swelling Cities? Detecting China’s Urban Land Transition Based on Time Series Data","year":2023,"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":"University of Victoria","funders":"National Natural Science Foundation of China","keywords":"China; Land use; Urban planning; Geography; Transition (genetics); Land use, land-use change and forestry; Stage (stratigraphy); Economic geography; Land development; Ecology","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":[0.0007560123,0.0002480335,0.0002578783,0.001944778,0.000319976,0.0008258185,0.0003400242,0.0002645983,0.0008316701],"category_scores_gemma":[0.001441267,0.0001017187,0.0003804106,0.002391623,0.0002831576,0.0007449488,0.0006989294,0.0002923088,0.0001455673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007860175,"about_ca_system_score_gemma":0.0007012836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05093415,"about_ca_topic_score_gemma":0.05576686,"domain_scores_codex":[0.9996434,0.00006153832,0.00003501453,0.0001010536,0.00007202956,0.00008696854],"domain_scores_gemma":[0.9993374,0.0001485187,0.0001810961,0.00007261594,0.0001377459,0.0001226487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004333055,0.00002953737,0.9844319,0.00002893653,0.00004831255,0.0001229293,0.0003344045,0.001983738,0.0005153592,0.0005396343,0.001203919,0.01071798],"study_design_scores_gemma":[0.000004250874,0.00002337526,0.980854,0.00001069034,0.00002081457,0.00002851841,0.0008561803,0.01622502,0.0002601579,0.000213825,0.001493664,0.000009627794],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967164,0.00008496373,0.0005068167,0.0001248461,0.000007165545,0.00001233768,0.001681653,0.00002696489,0.0008387272],"genre_scores_gemma":[0.9976596,0.00003796049,0.0002612897,0.00001148763,0.000005956862,0.000009369528,0.001870388,0.000002017086,0.0001418295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05093415,"threshold_uncertainty_score":0.1012753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434319824369787,"score_gpt":0.2060844895606487,"score_spread":0.1917412913169508,"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."}}