{"id":"W1993894350","doi":"10.1007/s10980-008-9310-z","title":"The impact of thematic resolution on the patch-mosaic model of natural landscapes","year":2008,"lang":"en","type":"article","venue":"Landscape Ecology","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":79,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mosaic; Thematic map; Biome; Landscape ecology; Natural (archaeology); Geography; Categorical variable; Cartography; Scale (ratio); Physical geography; Ecology; Statistics; Ecosystem; Mathematics; Biology; Archaeology; Habitat","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004615645,0.0003356602,0.0006009527,0.0003528213,0.0006135415,0.001553176,0.001268176,0.0009347866,0.00173271],"category_scores_gemma":[0.02456537,0.0004579629,0.0004684089,0.000766459,0.0009551124,0.003036468,0.001134187,0.0008276359,0.0001684678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001242743,"about_ca_system_score_gemma":0.0009040896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02281148,"about_ca_topic_score_gemma":0.01746466,"domain_scores_codex":[0.9990072,0.0006822772,0.00002846621,0.000103082,0.0001105067,0.00006850214],"domain_scores_gemma":[0.9884149,0.009603503,0.0003964387,0.0006918087,0.0005676808,0.0003256048],"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":[0.0001252952,0.00003001489,0.004475162,0.00002527187,0.00004318884,0.00002953008,0.000048103,0.9722646,0.0002556611,0.01622317,0.000643717,0.005836169],"study_design_scores_gemma":[0.00001316034,0.0000108624,0.0003143499,0.000003194025,0.000008813462,0.00001033569,0.00001206685,0.9926643,0.0000750959,0.006727587,0.0001557312,0.000004538949],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7827203,0.001323952,0.1999836,0.002909705,0.0001609064,0.0000523595,0.001048343,0.0003761204,0.01142483],"genre_scores_gemma":[0.9803459,0.000307505,0.01795523,0.000148806,0.00004628101,0.00001837017,0.0002330904,0.0001059832,0.0008387889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02281148,"threshold_uncertainty_score":0.04535741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01284157888894701,"score_gpt":0.2212082846104636,"score_spread":0.2083667057215166,"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."}}