{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001602347,0.00009650033,0.0001133491,0.00003303494,0.009985144,0.0003220765,0.0001552571,0.00004648678,0.00002489926],"category_scores_gemma":[0.0001901252,0.00005280967,0.00004557068,0.0001982312,0.0004933843,0.0001276825,0.0001495398,0.0001330079,0.000003762974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000290528,"about_ca_system_score_gemma":0.0000675611,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006533486,"about_ca_topic_score_gemma":0.2214123,"domain_scores_codex":[0.9989007,0.00006639304,0.0002838964,0.0001330121,0.000262961,0.000353061],"domain_scores_gemma":[0.9990829,0.0001582231,0.0001696305,0.0001272777,0.0004127303,0.00004925203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0000402636,0.0000678981,0.2807636,0.0001664967,0.0002677556,4.44294e-7,0.5830957,0.00004817454,0.007663412,0.09561083,0.002828289,0.02944715],"study_design_scores_gemma":[0.001808265,0.00006277162,0.5628533,0.0001147885,0.00006408636,0.00001430565,0.2183203,0.001574725,0.001674726,0.009939668,0.2027468,0.0008263713],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732628,0.00002408517,0.001565648,0.006483052,0.0001519921,0.001429068,0.00000495752,0.0001022829,0.01697612],"genre_scores_gemma":[0.9946262,0.000001858616,0.0006453681,0.0001010846,0.00008139637,0.0003003009,0.000003299097,0.000006211073,0.004234257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3647754,"threshold_uncertainty_score":0.9913037,"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."}}