{"id":"W2382025082","doi":"","title":"Spatial Modeling of Land Use and Its Effects in China","year":2000,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Peter's Hospital","funders":"","keywords":"Geography; Distribution (mathematics); Land use; China; Agriculture; Population; Cultivated land; Arable land; Agroforestry; Physical geography; Environmental science; Ecology; Mathematics","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":[0.00006384721,0.00004411133,0.00008268856,0.00003000843,0.00001866346,0.00001657786,0.00002203517,0.00002665299,0.0003222027],"category_scores_gemma":[0.00001431103,0.00002961187,0.000009940892,0.00004570487,0.000006495199,0.00008657944,0.000001214366,0.00004086236,0.0000148269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":3.026837e-7,"about_ca_system_score_gemma":0.000004995255,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02665316,"about_ca_topic_score_gemma":0.01031257,"domain_scores_codex":[0.9996663,0.00002595359,0.00007487724,0.00008271298,0.00006012839,0.00008999777],"domain_scores_gemma":[0.9998642,0.00004533022,0.000007739332,0.00004286347,0.000004458174,0.00003542213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005361714,0.000007267374,0.7246943,0.00001978577,0.000003165721,0.00001244263,0.0001775225,0.09774996,0.00001308023,0.000004287249,0.000006235887,0.1772583],"study_design_scores_gemma":[0.0001396402,0.0000247231,0.4271401,0.00001216059,0.000001335636,0.000002855015,0.000001101001,0.5725572,0.00002549371,0.0000441415,0.00002380812,0.00002742116],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946151,0.0001457327,0.00005279912,0.00001971786,0.00002861541,0.00004483067,0.00000265023,0.000008884739,0.005081692],"genre_scores_gemma":[0.9994082,0.0001165149,0.0002210708,0.00002741256,0.00001819004,8.144919e-9,0.000006413765,8.735636e-7,0.0002012514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4748072,"threshold_uncertainty_score":0.9798284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01143073942041165,"score_gpt":0.1891742931684921,"score_spread":0.1777435537480805,"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."}}