{"id":"W1604969566","doi":"","title":"Geoprocessing Solutions Developed While Calculating the Mean Human Footprint™ for Federal and State Protected Areas at the Continent Scale","year":2010,"lang":"en","type":"article","venue":"","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Polygon (computer graphics); Raster graphics; Scale (ratio); Footprint; Geography; Cartography; Spatial analysis; Table (database); Computer science; Statistics; Database; Remote sensing; Mathematics; Archaeology; Computer graphics (images)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002667732,0.001682617,0.001086135,0.004915954,0.001206437,0.003005967,0.001549578,0.0005546218,0.04271415],"category_scores_gemma":[0.01032052,0.001458912,0.001606016,0.006622827,0.0005568434,0.002473848,0.001740187,0.00171756,0.0207961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001501545,"about_ca_system_score_gemma":0.002561108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01942935,"about_ca_topic_score_gemma":0.0179075,"domain_scores_codex":[0.998825,0.000124582,0.0002389644,0.0003894632,0.000302701,0.0001193242],"domain_scores_gemma":[0.9963211,0.001071836,0.0003325922,0.0006765052,0.001497043,0.0001010687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003343188,0.0001506188,0.02206881,0.001362144,0.0002835189,0.0008911391,0.005306579,0.01799466,0.008776722,0.02454004,0.4235261,0.4947653],"study_design_scores_gemma":[0.0002925501,0.0001451468,0.03644375,0.0004293348,0.0002669702,0.0008059987,0.002814237,0.1232226,0.05507906,0.04573701,0.7344133,0.0003501054],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02530232,0.0002171508,0.5561175,0.0008472443,0.0005065482,0.0009485527,0.1003109,0.286143,0.02960672],"genre_scores_gemma":[0.07127871,0.0002826054,0.7994907,0.0003824098,0.00008820889,0.002096431,0.07440926,0.03939322,0.01257838],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04271415,"threshold_uncertainty_score":0.1428931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04537444912215672,"score_gpt":0.3054090508144509,"score_spread":0.2600346016922942,"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."}}