{"id":"W2032434997","doi":"10.1023/b:land.0000030418.90245.4b","title":"Modelling land cover transitions: A solution to the problem of spatial dependence in data","year":2004,"lang":"en","type":"article","venue":"Landscape Ecology","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Forest Research Institute","funders":"","keywords":"Spatial dependence; Landscape ecology; Spatial analysis; Spatial ecology; Spatial configuration; Raster graphics; Land cover; Ecology; Computer science; Mathematics; Land use; Statistics","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":[0.0002364755,0.00005325186,0.00009827315,0.00002008783,0.00004972911,0.000007198649,0.0002904519,0.00004922575,0.0004152895],"category_scores_gemma":[0.000002319255,0.0000348518,0.00001159644,0.0001049821,0.000007933862,0.0001360029,0.0001225591,0.00005531375,0.0002633933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002694718,"about_ca_system_score_gemma":0.00001281533,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005346138,"about_ca_topic_score_gemma":0.2268469,"domain_scores_codex":[0.9993876,0.00003050303,0.0001503065,0.0001856258,0.00008770126,0.0001582542],"domain_scores_gemma":[0.9996898,0.00002464018,0.00003639653,0.0002191849,0.000003230092,0.00002675421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002515362,0.00004895507,0.1046485,0.0000102471,0.00000385953,0.000003683651,0.000553849,0.8943715,0.00006302341,0.00001341389,0.00007444042,0.0001833798],"study_design_scores_gemma":[0.001530475,0.0001863009,0.08991781,0.00005598815,0.00002936537,0.00002977456,0.00009687764,0.9018543,0.0001630079,0.00228071,0.003649649,0.0002057533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982931,0.00002575718,0.01440789,0.001490775,0.00005468403,0.0002298052,0.00002927887,0.000008362204,0.0008224489],"genre_scores_gemma":[0.9987272,0.00001945935,0.001015317,0.0001487696,0.00003048261,0.0000171102,0.00002893136,0.000003575873,0.000009162522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2215008,"threshold_uncertainty_score":0.8081798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01779160027912079,"score_gpt":0.2207910289750451,"score_spread":0.2029994286959243,"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."}}