{"id":"W2118255469","doi":"10.1080/17474230802047955","title":"Land use change: complexity and comparisons","year":2008,"lang":"en","type":"article","venue":"Journal of Land Use Science","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Science Foundation","keywords":"Land use, land-use change and forestry; Land use; Computer science; Geography; Remote sensing; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004779392,0.00009069269,0.0001946225,0.00006704118,0.000388731,0.0001358779,0.0002953513,0.00002817935,0.0001458639],"category_scores_gemma":[0.00004097998,0.00005654747,0.00003445708,0.0003057413,0.0002510314,0.002121413,0.0001580164,0.0001150201,0.00004046811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004117448,"about_ca_system_score_gemma":0.00002291114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001303589,"about_ca_topic_score_gemma":0.001296571,"domain_scores_codex":[0.9988552,0.00003110861,0.0002366376,0.0001571646,0.0004768511,0.0002429976],"domain_scores_gemma":[0.9993248,0.00006537542,0.0001999754,0.0001411842,0.00003306767,0.0002355762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000168705,0.0000358233,0.9984231,0.000004211221,0.000003319562,0.00004079602,0.0004868795,0.00007458111,0.0001953601,0.000005424537,0.0005904639,0.000123198],"study_design_scores_gemma":[0.000329648,0.00008565689,0.9890645,0.00002744948,0.000009210229,0.0005855017,0.00002509746,0.002287126,0.0001163834,0.0000398281,0.007336672,0.00009298778],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991557,0.0000700493,0.00003862436,0.0002741246,0.0001843532,0.00006235414,0.000006747271,0.000007397044,0.0002006228],"genre_scores_gemma":[0.9982215,0.0001882973,0.001243773,0.000224404,0.0000856365,6.591499e-7,3.978269e-7,0.000003754705,0.0000316396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009358633,"threshold_uncertainty_score":0.2989844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1250225352380746,"score_gpt":0.2803018715285051,"score_spread":0.1552793362904306,"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."}}